Teacher Values and Orientation to
Technology in the English Classroom
in Taiwan, Thailand, and Australia
Carmen Boulter
Chienkuo Technology University
Introduction
Educators teaching international students or native English speakers teaching foreign students are challenged to develop curriculum appropriate to a diverse group of learners allowing for culturally preferred ways of learning. Prompted by educational policy over the past decade, the technological infrastructure in universities worldwide has advanced. Meanwhile, online resources for English as a second language (ESL) have increased exponentially becoming more effective and plentiful. Students are progressively more oriented to computers yet it seems teachers are lagging behind and have low motivation to use multimedia in the classroom.
The proposed dissertation will address the following research questions. What is the relationship between culture, values, learning styles and orientation to technology? If Asian culture is highly oriented to technology and students have ready access to computers and the internet, why don’t more teachers use online resources? If the technological infrastructure of academic institutions is improving and teachers are taking computer training, why does that not translate into multimedia curriculum development?
It is hypothesized that if a university has a strong technological infrastructure, if there is modeling of the use of multimedia by colleagues, and if there is sufficient technical support and training, teachers will gradually use more technology in the classroom. Secondly, it is hypothesized that if teacher values are less traditional, less authoritarian, and more global, they will develop learner-centered programs which are facilitated by computer assisted instruction (CAI).
Review of the Literature
In analyzing the factors that influence whether teachers use multimedia in the classroom, we must examine a number of interacting theoretical issues. The use of multimedia and e-learning in general is a relatively new field admittedly existing outside a cohesive theoretical framework. Research is often conflicting and must be examined in the context of the language classroom without falling prey to misconception and overgeneralization. The issue of collectivist and individualist cultures will be examined as well as theories in second language acquisition and learning modalities. Lastly, the role of consciousness in second language acquisition is reviewed applying research from the well-developed field of psychology.
The
Case for and Against E-Learning
At colleges, technical
institutes, and universities in
There is a common and unsubstantiated belief that the promotion of computer assisted instruction (CAI), e-learning, and multimedia in the classroom will render the teacher obsolete. Research on the effectiveness of electronic versus live teaching reveal that some favor face-to-face (F2F) teaching, others favor CAI, while a number of studies are reporting a ‘no-significant-difference’ phenomenon. While students may have individual preferences for self-paced learning or F2F instruction, it is hypothesized that interactivity with the instructor, whether online or face-to-face, facilitates learning.
While
online learning clearly is not appropriate for all learners, it is carving out
a legitimate place in education worldwide. Factors contributing to success or
failure in CAI are complex. Studies directly comparing online learning and F2F
instruction are admittedly limited. The
field of CAI lacks a comprehensive theoretical base. Research comparing online
programs and F2F instruction is limited. Traditionalists favor classroom
instruction. Misconceptions color perceptions of e-learning and CAI. Yet, as
Flowers et al (2004) assert, “there is insufficient evidence to
support the idea that classroom instruction is the optimum delivery method”
(Flowers, Jordan, Algozzine, Spooner and Fisher, p. 57).
While research in the 1980’s and
1990’s was affected by the lack of technological infrastructure in academic
institutions, studies that compare online learning and traditional classroom
instruction published in 2004 still reveal a wide range of findings (Junaidu
and AlGhamdi 2004; Flowers, Jordan, Algozzine, Spooner and Fisher
2004; Dupin-Bryant 2004; Muirhead
2004). Flowers et al (2004) point out that correspondence education is not new
having made its debut in the late 19th century (Flowers et al, 2004,
p. 55). Nowadays, computers add a dimension to distance education, doing away
with using postal services in favor of electronic communication.
While using computers in instruction necessarily expose a myriad of new
factors for consideration in assessing instruction, the fundamental principles
of curriculum design lie at the core for student success. What computers do
offer is multiple modalities for instruction which provide additional
stimulation to students with various learning styles. They also offer the
ultimate convenience allowing students to access instructional materials
independent of time and place. For students in developing countries, rural
communities, or with physical handicaps, online courses may provide the only
means of education available.
Junaidu and AlGhamdi (2004) compared F2F teaching and online learning.
While they found that the online students did better, they concluded that
student performance was more a function of students’ ability that it was of the
course modality (p.37). Traynor (2004) argues that there is insufficient
evidence to support the impact of CAI on students with different learning
styles. His thesis is that learner control results in a more positive attitude
toward instruction and increased motivation. If a learner feels more competent
and self-determined, learning generates more meaning and personal interest (p.
35). CAI allows students to access material at their own pace as well as
offering auditory, visual, and kinesthetic cues appealing to the broad range of
learning styles in any given group of students who cluster in a program.
Dupin-Bryant (2004) argues that well-designed distance education programs can help instructors shift from “teacher-centered” to more “learner-centered” teaching styles. Teacher-centered teaching is defined as formal, controlled, autocratic in which the instructor directs how, what, and when the students learn and is characteristic of traditional classroom settings. Alternatively, learner-centered learning is defined as responsive, collaborative, problem-centered, and democratic in which both the teacher and the student decide how, what, and when learning occurs and is facilitated by CAI and e-learning environments. For Dupin-Bryant (2004), keys to the effectiveness of this style were training in the use and application of technology, training in curriculum development and distance teaching methodology, consulting with technical support staff, and discussion with other distance education instructors (p. 5).
Thurmond and Wambach (2004) argue that interactivity is a key factor in learning. Learner-content, learner-learner, learner-teacher, as well as learner-interface interactions are critical in learning and can effectively be achieved with CAI. Sufficient practice and timely feedback are crucial and they can be successfully achieved in both the classroom and in the context of online learning.
Muirhead (2004) outlined the learning needs of students highlighting the importance of communication and stated that online learning is not for all students. He argued that most students lack the self-monitoring skills required for online learning. Successful online learners exhibit good work ethics, the ability to think reflectively, and the ability to work collaboratively. Idea generation, intellectual convergence, and lateral thinking are skills that contribute to success in online learning. On the other hand, seeking to provide the ‘right’ answer and viewing knowledge as a collection of information was not seen as contributing to the success of online learning (Muirhead, 2004, p. 65). Loosely stated, Western educational models tend to exemplify creative thinking, while Chinese models maintain focus on memorization and examination. This may be the reason why oriental students are initially more reluctant to engage in e-learning and CAI than Western students. Though not insurmountable, culturally established learning styles are worthy of consideration when introducing online activities to students from a variety of ethnic backgrounds.
An advantage of distance education is that students work on their own and in their own time. While it may be true that this is difficult for some students at first, it must be made clear that in a well-executed interactive program, the students are not isolated. The opportunity for teacher feedback is direct and immediate even though it comes to them electronically. This learning context may initially be seen as lacking in essential human contact, but in the Information Age, most of us are becoming digitally oriented and we realize that online communication is, in fact, authentic contact. While traditional classrooms exemplify teacher-centered teaching, e-learning creates opportunities for learner-centered learning (Clark and Hermen 2001, p. 260).
As Huang (2002) points out, “electronically mediated human communication provides high interactivity and immediate feedback for learners (p. 43).” This transcends time zones and world geography and has vast implications for the future of education. Despite initial resistance, all educators will eventually need to embrace this new instructional paradigm. Perhaps the term e-learning needs to evolve beyond the word “electronic.” “E” may come to stand for “essential.” Roffe (2002) suggests that alternative representations of the “e” in e-learning could well include “engagement, enhancement and execution” (p. 40).
It is clear that e-learning can provide a more flexible learning environment extending the range of influence of education and thus empowering the learner. E-learning “is not meant to replace the classroom setting, but to enhance it, taking advantage of new content and delivery technologies to enable learning.” (Wild, Griggs, and Downing 2002, p. 374) Traditional classroom settings, particularly test-based educational methodologies, push students to be extrinsically motivated driven by marks. Intrinsic motivation, the pursuit of learning for its own sake, must be developed if life-long learning is to be established in students. As Lumsden declared (1994), educational activities should be engaged in for the enjoyment they provide, for the learning they permits, and for the feeling of accomplishment that they evoke.
Motivating students is the challenge of all educators. Learning theorists have emphasized that students need a reason for learning, a desire to attain the learning goal, a positive attitude toward learning, and perhaps most importantly, effortful behavior (Ngeow, 1998). Generating a positive attitude toward learning and encouraging students to put forth the necessary effort to continually develop their lexical skills is an essential step in long-term language acquisition. Strengthening students’ intrinsic motivation is paramount for successful learning. By receiving feedback that was directly oriented to the individual, students feel visible and this is thought to foster both motivation and learning. As e-learning provides a dominant role in facilitating and enabling knowledge management, continued curriculum development for online courses offered for credit and ongoing research on its effectiveness will be of ultimate benefit to future generations of students.
Collectivist
vs. Individualist Cultures
Collectivist and individualist frameworks of Chinese and Western cultures percolate into the respective education systems cultivating differences in learner beliefs, motivation, and learning strategies that must be considered in the development of effective online curriculum for English as a second language. We begin our lives by viewing the world through our own cultural filters. If we want to participate in the global community, we must move beyond this relatively narrow perspective and embrace points of view beyond our own cultural borders.
Culture is defined as all learned behavior which is socially acquired. Even when exposed to materials from diverse cultures, most learners maintain as sense of ethnic loyalty holding fast to their L1 ethnic preferences and values (Tong, 1997). Learning styles have a dimension of socialization and are shaped by our native culture molding our behavior. This is a subtle and complex interaction of cognitive, emotional, social and physical factors. Students learning English as a second language online will have different needs, beliefs and learning styles dictated by their home ethnographies.
Confucian philosophy is deeply ingrained in Chinese culture dictating that the needs of the group, particularly of the family, take precedence over the needs of the individual. Meanwhile, the myth of Oedipus illuminates the Western cultural emphasis on personal freedom. When Western educators teach Chinese students English, they often misinterpret learner strategies viewing them with a Western eye missing the underlying cultural imperatives that motivate the Chinese learner. How do learner strategies in collectivist cultures differ from those of individualist cultures? How can we be sensitive to these differences to create online curriculum to best serve a wide range of students?
We have a pedagogical imperative to develop models of effectively teaching online that are culturally inclusive, catering to the diverse needs of students from differing cultural backgrounds. Our collective cultural psyche has powerful implications for basic psychological processes such as cognition, motivation and emotion. Language carries cultural bench marks. When we teach English, we are also, in a subtle way, teaching Western culture. Globalization is not only for learners that go abroad, it is also vital to those who remain in their country of origin and learn a foreign language.
Students must be free to choose “culturally preferred” ways of learning and that cultural background affects strategy choice (McLoughlin, 2002, Oxford, 1996). McLoughlin (2002) suggests that technology is a “cultural amplifier” (p. 7). The Chinese education system is decidedly test-driven. Chinese students see memorization and understanding as separate but “interlocking” processes and that repetition develops understanding through “considerable mental effort” (Watkins, 2000) Chinese students are motivated to learn, but are trained to think there is only one right answer and avoid risk-taking and divergent thinking (p. 164). According to Oxford (1996), “Chinese people dislike learning strategies that involve theoretical models and prefer dealing with strategies that handle practical questions, because the Chinese language lacks implicational statements that allow people to discuss ideas contrary to fact” (p. 48).
In stark contrast, Westerners see understanding as sudden insight. Western education assumes that high level self-confidence and self-responsibility lead to achievement. In the Western education system, intrinsic motivation is thought to lead to academic and professional success. Extrinsic motivation, which is studying for parental approval or to pass exams, is considered questionable. The psychological values of Chinese populations have been shaped by the cultural constructs of collectivism. Cultural concern for “harmony-within-hierarchy” can be used to explain the ideology behind Chinese social behavior (Bond, 1986, p. 214). Pressure to succeed is collectivist, being a complex combination of “personal ambition, family face, peer support, material reward, and interest” (Watkins 2000, p. 168).
This emphasizes the Chinese preoccupation with social order while the oedipal drama highlights the Western preoccupation with individual freedom. Bond (1986) distinguishes between “large power distance” societies who accept hierarchical allocation of roles without justification. In “small power distance” societies, exemplified in Western culture, power equalization is paramount and justification for power inequities is coveted (Bond, p. 228).
Wenden and Rubin (1987) examined the conscious efforts made by learners when mastering a foreign language. It offers fruitful insight into learner strategies and learner beliefs and addresses the shift from teaching methodologies to learner characteristics. When establishing a self-directed approach, learners set goals, define their program, select techniques to be used and monitor their progress (Wenden and Rubin, 1987, p. 11). “If learners are to be weaned away from their state of dependence to one of independence and learner autonomy they must not only acquire a number of relevant learning techniques but also experience a change of psychological attitude towards what learning is” (Wenden and Rubin, 1987, p.11). As learners become more autonomous, they develop the psychological tools for critical reflection and self-motivated attitudes toward learning.
Theories of Language Acquisition
In language learning, our
challenge is to integrate and organize vast quantities of auditory and visual
data and to decipher meaning from our known world. This happens in a gradual,
sequential, and progressive manner. Learners thus construct a context within which
to organize the data. The acquisition of language is one of the most miraculous
achievements of human development.
Late 19th and 20th century
theorists argued that psychology was the study of invisible forces. Behavior,
on the other hand, was measurable and could be directly observed. In 1859,
Exclusive focus on structure
and form is not directly correlated to the acquisition and fluency (Krashen,
1982). In 1978, Mc Laughlin pointed out that no real research (emphasis mine) was ever generated by behaviorists
to look at child language use, let alone second-language learning. After all,
first language acquisition is a natural occurrence in a contextual cultural setting.
Parents rarely ever correct their children’s grammatical errors, they respond
to the inventive message the child is delivering with focused attention.
The Nativist perspective
presupposes that language is species-specific, genetically determined, and governed
by biological mechanisms. Humans are innately social beings naturally able to
differentiate speech sounds from other sounds. We seem to have a predisposition
toward organizing language into a complex system of linguistic constructs. How
is it that bilingual children are readily able to distinguish one language from
another in terms of classifying vocabulary, grammar, idiomatic expressions, and
varied intonations of speech?
In 1957, Chomsky’s introduced
the notion of universal grammar theory in his book Syntactic Structures. He noticed that fixed features and syntactic
categories like nouns and verbs were universal linguistic constructs worldwide.
Despite the complexity of the formal study of linguistic universals, children
are naturally able to learn the abstract rules of core grammar. The acquisition
of grammar structures proceeds in a predictable order is not dependent on
formal learning. This ability is heightened when children hear a language
spoken by natives and are exposed to contextual data through culture and
society.
An important distinction can
be drawn between language acquisition, the subconscious process of integrating
language, and language learning, which is knowledge of the formalities of
grammar and syntax (Krashen, 1982, 1985).
The first is It is not integrated into the cognitive structure of the
learner. The second is rote learning which is can be arbitrary and verbatim.
Rote learning is exemplified in learning lists of vocabulary outside of a
contextual framework.
Constructivist theory states
that learning must be meaningful in order to be effective and permanent.
(Brown, 1987) Meaningful learning is relatable to what one already knows thus
it can be easily integrated into one’s existing cognitive structure. Modern
learning theory stipulates that learners go for meaning first. They look to
associate with data from their known world. Language acquisition is enhanced
when we are exposed to comprehensible, relevant input which is just beyond our
current competence (Krashen, 1985). Communication is successful through
extralinguistic clues, that is to say, through body language, facial
expression, and context. Fluency occurs when there is sufficient time, but it
can not be taught directly.
Psychological factors also
play a key role in successful language acquisition. According to Brown (1987), a
learner must be motivated, have confidence and self-esteem, and maintain a low
level of anxiety. When students are anxious, it sets up a filter limiting their
comprehension. Overemphasis on grades has perpetuated this problem and lowered
the self-image of all too many pupils learning English in traditional
educational paradigm. The leap from teacher-centered teaching to
learner-centered learning is a potential antidote to this problem. An optimal language
acquisition program must be of adequate duration and strives for relevance.
Material must be comprehensible, accessible, of sufficient quantity, and it
must be delivered in an atmosphere that fosters encouragement.
While behaviorist theory
states that learning results from something imposed from outside the learner,
cognitive theory says that learning results from internal mental activity and
that anything new that is learned is integrated into this structure. Jean
Piaget’s view was that all living creatures are born with an invariant tendency
to organize experience. The Interactionist view recognizes the interaction of
both internal and external factors. Schmidt (1988) asserted that the learner
must give their full attention to content. Through the integrated processes of
simplification, generalization, restructuring, and automization new information
is synthesized. Existing knowledge is further integrated allowing for more
sophisticated language learning. This is particularly relevant in second-language
acquisition (
Though adults can benefit from
deductive presentations of grammar, we have come a long way from seeing
language learning primarily as a rule-based, mechanistic task. Connectionist
models are emerging suggesting that knowledge is in the interaction between and
among simple processing units. The strength of connections is determined by the
relative frequency of patterns and the affective context of the learning
environment.
What, then, disposes an
individual to becoming a “good learner?” Attitude, empathy, age, personality,
stress level, motivation, and proficiency level, vary dramatically among
students. Individuals have unique responses to their physical environment, the
time of day, their degree of comfort, the amount of light, and so on. While
most teachers agree that individual differences are important factors to
consider, they are at a loss to be able to accommodate students one on one,
particularly with the realities of large class size in most classroom contexts.
Another way learners differ is their social preferences. Some are oriented to
learning alone while others are more comfortable in small groups.
Teachers need to consider the
array of individual differences and use a multi-modality, interactive approach,
appealing to all types of learner preferences. Teachers then function as
architect and mediator providing structured guidance without imposing too much
control. They are preparing not a teaching method but a teaching repertoire.
They also help students become aware of their own learning strategies and
learning preferences. Learner-friendly environments are fostered when the
teacher makes a concerted effort to deliver information that is relevant and
meaningful to students and that encourages their creativity and independence.
This, in turn, challenges students to take responsibility for their own
learning, a skill essential to survival in the real world in the new millennium.
Learning
Modalities
There are three basic learning
modalities: visual, auditory, and kinesthetic. In traditional classrooms, the
teacher speaks and the student listens. Students can be dominant in one or more
learning modalities, each with differing orientations to learning.
The visual learner benefits
from a visually appealing learning environment as well as to color and
sophisticated graphics. Most visual learners work best alone. They benefit from
being able to scan ahead and review material at their own pace. They love
graphically-rich charts, maps, websites, films, videos, posters, flash cards,
slide shows. They like to write things down and type things out. Auditory
learners like to work in group talking about material, reciting reading
passages, and listening to others discuss material. They are content listening
to people speaking. Auditory learners tend to be passive, listening for
instructions from the teacher. Kinesthetic learners need to move around, touch
textures, and fidget. They love dancing, drama, sports, and interactive
activities. They need to take frequent breaks and do not work well sitting at
desks. They tend to be risk-takers and are perhaps the most compromised by
traditional classroom settings.
In addition to the three
sensory modalities, there are two further distinctions that can be drawn when
examining learning styles. Students can predominantly be analytic thinkers or
global thinkers each with specific needs and orientations to learning.
Analytic thinkers are
left-brain dominant. They are intellectual, logical, and analytical. They like
step-by-step instructions and structured information. They prefer quiet, formal
environments and they respond well to words and numbers. They tend to need concrete
reinforcement like a handout. They like to do one thing at a time. They hold
their bodies still when they speak. They have a strong need to complete a task before
beginning another. They are detail-oriented, and tend to see the parts rather
than the whole.
Global thinkers are
right-brain dominant. They are
emotional, sensitive, have a high need for social interaction. They enjoy doing
several things at once. They learn best when information is presented with
humor, emotion, or an anecdotal story. They speak with their hands and they
respond well to pictures. They think holistically and they are concerned about
the big picture.
Research on hemispheric dominance
will not resolve our issues with education. The traditional educational
paradigm has created generations of analytic thinkers. It is noteworthy that
studies seem to suggest that second language learners, particularly adult
learners, might benefit from more encouragement of right-brain activity, or
global thinking in the classroom context.
Another valuable measure of culturally-specific learning styles is that of field-dependence and field-independence. Collectivist cultures place a high value on the family, have rigid social strata, and tend toward authoritarian child-rearing practices. Children are highly sensitized to social hierarchy, are sensitized to the feelings of others and are more likely to assist others and work collaboratively (Hsiao, 1997). These societies have rigid social structures and place pressure on children to conform. They have a highly developed socio-cultural context which encourages people to become field sensitive. Research shows that when tested, field-dependent people rely on external cues and are more attentive to social cues. They are oriented to social interaction. They seek externally-defined goals and depend on social reinforcement. They rely on clear structure.
On the other hand, individualist cultures exemplify laissez-faire child-rearing practices, promote individual effort and achievement, and enable individuation. An individual’s status is independent of their background and the group which provides low context situation. Individuals raised in this milieu will become field-independent (Witkin, Witkin, Moore, Goodenough, and Cox, 1977). Field-independent people are more likely to be impersonal and prefer solitary activities (Brenner, 1997, p. 38). They have self-defined goals and intrinsic motivation. They tend to have a greater tolerance for ambiguity and can create organizational structure when it is lacking.
How do cognitive styles influence orientation to e-learning? Wey and Waugh (in Hsiao, 1997) investigated college students taking e-learning courses and found that field-independent students were able to cope with text-only pages, spent more time on lab test sections, and accessed more screens. Meanwhile, field-dependent students benefited more from text-with-graphics formats and answered fewer questions. Overall, it was concluded that field-independent students learned more effectively and more autonomously. Brenner (1997) suspected that field-independent students would be more successful in online learning activities because they typically worked well alone (p. 38). Surprisingly, in a study correlating age, gender, field-dependence and achievement for distance education students, it was found that there was no significant difference in success rate between field-independent and field-independent students Brenner, 1997).
The
Role of Consciousness in Second Language Acquisition
What is needed is an interdisciplinary science of consciousness that includes physical and biological processes, cognitive and neurological processes, as well as philosophical and metaphysical perception. Because language acquisition is central to human experience and highly complex, it has gone beyond the traditional paradigm by legitimately becoming a multidisciplinary field. It is perhaps in cross-disciplinary analysis that we will finally answer the complex question of how language is acquired.
In his attention hypothesis, Schmidt (1988, 1990, 1993a, 1993b, 1994a, 1994b, 1995, 1999) discusses the role of consciousness in second language acquisition. In 1990, he argues that there was insufficient evidence to conclude that second language acquisition occurs without awareness and without consciousness. In direct contrast to Krashen (1982, 1985) who maintains that language can be acquired unconsciously, Schmidt argued that the role of the unconscious in language learning has been exaggerated. Yet over the years, Schmidt revised his position. The notion of consciousness is notoriously slippery and its very definition has been the subject of debate.
In 1990, Schmidt claimed that without intention, attention or noticing, learning does not occur. He argued that intentional learning is superior to incidental learning. However, in 1993(a) and 1995, he revised his theoretical position and argued that incidental learning seems possible. Though he conceded that unconscious perception happens, he was adamant that it did not lead to learning (Schmidt 1990, 1993a, 1993b). Schmidt (1993b) argued that learners use abstract rules stored in long-term memory defining this phenomena as implicit knowledge, not implicit learning.
Schmidt’s thesis states that input cannot be construed as intake without conscious awareness. For Schmidt, the role of consciousness in language learning requires discerning between 3 issues: the question of learning incidentally, without intention; that of learning subliminally, without attention or noticing; and that of learning implicitly, without awareness at the level of understanding. But this begs a question. How can we determine if information is processed consciously or unconsciously (Van Patten, 1990)?
Though Schmidt expressed difficulty with the words “conscious” and “unconscious” stating that there were multiple meanings for each word, he continued to dig deep to develop his theoretical position. While it is true is that the concepts are frequently conflated and ill-defined in the literature, we must resist the invitation to abandon the words altogether. McLaughlin (1990) argued that the terms were “too laden with surface meaning and too difficult to define empirically to be used theoretically” (p. 627). This is the interface where psychology and language acquisition meet. It may also be the threshold where new theoretical frameworks for educational technology can be established. There is a complex interaction between conscious and unconscious processes when learning a language. Visual, auditory, and kinesthetic cues simultaneously stimulate learners and the brain makes connections and extracts patterns from the cues. Much of what is learned remains in the realm of the unconscious. In other words, learners ‘know’ but they go through stages of not quite able to define what they know.
The nature of consciousness implies subjective experience which defies the laws of empiricism and is impossible to quantitatively measure. Since there is no adequate and defining theory of the mind accepted by science, the notion of consciousness cannot participate in solid theoretical constructs. To further complicate the matter, self-reporting is often relied upon to gather data, another stumbling block for empirical research. This becomes a serious impediment to falsifiability.
Schmidt (1988) did admit that the notion of consciousness is reputable because of an extensive body of research from the field of cognition linking related the ideas of attention, memory, and information processing. The debate rages on and there are theoreticians who are pushing for a larger explanatory role for the unconscious. This debate is not new to psychology. Freud (1915) revolutionized ideas of human behavior introducing the concept of the unconscious a century ago fueling behaviorism for the better part of a century. His student, Carl Jung (1916), defined the notion of the “collective unconscious” stating that not only are we governed by processes we can not directly observe, but that there is an invisible social fabric that tie cultures together.
Meanwhile, behaviorism was gaining momentum refusing to delve into the realm of non-physical occurrences. Lashley (1923) was openly critical of methodological behaviorists that were willing to omit a whole “universe of phenomena” by fundamentally denying the fact of consciousness (p. 32). Though we like to think we have moved beyond behaviorism, functionalist and logical scientific inquiry still has a hold on research methodology.
Strict behaviorism is advanced as a theory, but the insistence upon methodological behaviorism at all costs has prevented the consideration of any supposedly subjective data and has left the theory undeveloped. (Lashley, 1923, p. 33).
While advances in thinking and technology are leading to an understanding of the function of the human mind, theories of consciousness and introspection have historically had limited credibility. This taboo in the scientific community has restricted viable inquiry into the role of the unconscious in human experience. Held in place by patriarchal ways of being and thinking, sound explanatory theories of consciousness are still in their infancy. Dennett claimed that consciousness was a “cultural construction” (in Block, 1981). While this is a dated article and Block admittedly says this definition is hard to take seriously, it nonetheless joins the parade of confusion about the phenomena. Josephson and Rubik (1992) insist that what is required is expansion of our ways of thinking.
…the nature of reality and its relationship to consciousness, the inadequacy of current scientific approaches to consciousness, the role of intuition and conditioning in scientific work, mind-brain interaction, the nature of human identity, and the possible need for a new scientific paradigm and/or an interdisciplinary science of consciousness (p.1).
Consciousness is admittedly subtle and it has lived outside the configurations of conventional science. Yet we must not be imprisoned by these constraints tossing out the concept because it resists measurement. A deeper collective intuition persists and it holds the key to the mysteries of language acquisition.
Despite the ongoing deliberation, consciousness research is claiming a tremendous revival in recent years (Antony, 1999, Josephson and Rubik, 1992, Merikle and Reingold, 1992, Aydede and Eldere, 2001). The days of physicalism, insisting that the world consists of physical facts and nothing more, is giving way to metaphysical constructs and non-physical perception. Synesthesia is cross-modal association, a cognitive constellation where certain people experience vivid sensory blending such as hearing colors and seeing music. Cytowic (1995) argues that “synesthesia might tell us about consciousness, the nature of reality, and the relationship between reason and emotion” (p. 2). He describes how “sound symbolism” has a role in language learning as was noticed by Saussure (p. 4). Genetically transmitted, synesthesia seems to have a direct link to the unconscious. It is emotional, consistent, and it pertains to a deep and fundamental aspect of perception. This disturbs traditionalists. Cytowic’s research is suggesting that “we are all synesthetic and that only a handful of people are consciously aware of the holistic nature of perception” (p. 9). He asserts that even newborns can make cross-modal associations (p. 16).
What is emerging is the idea that the complex processes of the limbic brain interacting with memory, emotion, and attention can explain why humans can make decisions based on incomplete information. Simply put, we know more than we think we know. Herein lays the interface in the debate on the role of the unconscious in language acquisition. Despite innumerable experimental reports over the past 100 years suggesting that stimuli can be perceived without conscious awareness, considerable controversy persists over the role of unconscious perceptual processes and the interpretation of the data. Merikle and Reingold (1992) make an important point:
Ironically, with the dissociation paradigm, it is necessary to have an adequate measure of conscious perceptual processes before it is possible to demonstrate that a dissociation between two measures of perception implicates unconscious processes. Given that there is no consensus as to what constitutes an adequate measure of conscious perceptual experience, it is perhaps not surprising that there is also no consensus as to the role of unconscious perception in directing human behavior (p. 2).
Schmidt (1999) defined attention as a fixed capacity for processing information stating that when exceeded, performance deteriorates. Baars (1996) also acknowledges that we have limited capacity for awareness. This follows information-processing theories that describe single-channel processing that runs parallel to Schmidt’s hypothesis. If we are distracted, the lack of focus can interfere with learning. Yet there is ample research to support multi-channel processing and learned automaticity. We are “pattern recognizers” and when it comes to language learning, sometimes the awareness of the patterns are operational but below the level of conscious awareness. The genuine mysteries of human learning such as selective attention, blind sight, and spontaneous thought monitoring are scientifically verifiable (Baars, 1996).
The words “conscious” and “unconscious” exemplify semantic complexity and our challenge is to dig deeper and expand our insight. Our experience contains both the things we focus on and also things that the brain allows to fade into the background. This is one of the reasons why psychologists and neuroscientists have concluded that attention and consciousness are the same thing (Hardcastle, 2003).
This transcendental argument exposes our collective addiction to rational and externally verifiable phenomena. Nevertheless, the resurrection of the observing self is underway and we are discovering points of convergence between brain functioning, behavior and language acquisition. Baars (1996) emphasizes that we need a concept of self to fully understand what consciousness is. This is the humanizing factor that will deliver us beyond perfectionist and mechanistic ways of perceiving human perception. While unconscious and involuntary activities do not mandate such a connection with self, they are a necessary distinction for discriminating perceptual events. This is perhaps what Schmidt meant when he insisted that language learning cannot occur without awareness.
Methodology
Subjects
A random sample
of 150 teachers, 30 from each of 5 institutions, will be surveyed for values
and orientation to technology. Teachers from the Chien Kuo Institute of
Technology (CKIT), Lunghua University (LU), and Tamkang University (TKU) in
Materials and Design
Three surveys will be administered, two to each teacher in the study and 1 for each institution in the study. A full survey of the campus technological infrastructure will be made for each of the 5 institutions. The Campus Multimedia Capability Survey (Appendix A) will be conducted with the help of the computer centers of each institution and will establish the number of students, faculty, and the multimedia facilities and equipment available to teachers and students.
Teachers from the 5 universities will be administered the Teacher Technological Orientation Survey (Appendix B). This will assess the teacher’s history with computers, their current capabilities, their perceptions of use of technology on their campus, available training, and available support. The World Values Survey (2001) will be adapted to assess teacher values.
This research is quantitative. Statistical analysis will be calculated between measures to ascertain if there is a significant correlation between variables.
Background and Rationale
This study will be conducted in the
context of an International Academic Cooperation Project (IAC) through the Department of
Technological and Vocational Education, Ministry of Education (MOE),
I have been avidly using computers since 1982 and have been observing how e-learning has been becoming increasingly integrated into university programs. I have been building websites since 1997 and exploring the full range of multimedia capabilities. Being fully supported in using computer technology at CKIT by both the computer center and the administration, I have been interested in why teachers are not more oriented to computers. I have been investigating why teachers hesitate to integrate the full range of available resources into their teaching. It is my conviction that consciousness of computing and technology, sufficient personal support and inspiration, and adequate functional equipment are the necessary foundation for educational technology. This study will hopefully shed light on the factors contributing to and deterring from the valuable use of technology in education.
Appendix A
Campus Multimedia Capability Survey
1. Name of Institution _________________________________________________
2. How many students attend this campus? _________________________________
3. How many full and part time faculty members? ___________________________
4. How many computers are on campus? __________________________________
5. How many computers are available to students? __________________________
6. Of these computers, how many are online? ______________________________
7. Do teachers have their own computers? _________________________________
8. Describe your campus’ multimedia teaching facilities:
ü Language Labs ____ yes; ____no; What functions? ___________________
ü Writing labs ____ yes; ____no; # _____ Accommodate how many students?
ü LCD Projectors in classrooms ____ yes; ____no; # _____ how many?
ü Digital still cameras # ______ Digital video cameras # _______
ü Notebooks available to teachers # ____________
ü Portable LCD Projectors available to teachers # _______________
ü Multimedia Library Resources ___ extensive; __adequate; ___ minimal;
ü
9. Describe your campus’ multimedia curriculum design facilities:
ü Recording studio ____ yes; ____no;
ü Video editing studio ____ yes; ____no;
ü Video conferencing center ____ yes; ____no;
10. Are your computer facilities regularly updated and maintained? ____ yes; ____no; __
Appendix B
Teacher Technological Orientation Survey
11. Name of Institution
_________________________________________________
12. Degree in ___________________ Number
of years teaching ________________
13. Age ________ Nationality ___________ Gender _____male; _____ female;
14. Subjects taught
______________________________________________________
15. Teach 2nd Language ____
yes; ____no; which languages?
___________________
16. The way I feel about my technological proficiency:
ü ______ I live online and am
considered a TechnoGeek. I couldn’t live without computers
ü ______ I am comfortable with
technology, I have taken training and continue to learn
ü ______ I am barely starting out and
feel bad about how little I know
ü ______ I am timid and anxious around
computers
ü ______ I don’t use computers and
don’t feel I need them
17. I feel pressure from colleagues, superiors, and students to be more proficient with technology and use it in my teaching ____ yes; ____no;
|
18. The first time I used a computer
was: ü ______ over 12 years ago ü ______ 7 – 12 years ago ü ______ 3 – 7 years ago ü ______ 1 – 3 years ago ü ______ don’t use computers |
19. I use computers for work or
pleasure: ü ______ almost every day ü ______ 2 – 3 times a week ü ______ once or twice a week ü ______ less than once a week ü ______ less than once a month |
|
20. We are supported to use technology: ü ______ computer technicians
available ü ______ good access to hardware ü ______ good access to software ü ______ my colleagues share material ü ______ regular teacher training |
21. I make multimedia teaching
materials: ü ______ for almost every class ü ______ at least once a week ü ______ maybe once a month ü ______ maybe once a semester ü ______ no, it’s not my teaching
style |
|
22. I am competent to use: ü ______ Microsoft Word – basic level ü ______ Microsoft Word - advanced ü ______ PowerPoint - basic ü ______ Multimedia PowerPoint ü ______ I built a website for teaching |
23. In my program, my students use: ü ______ e-mail ü ______ message boards ü ______ computer assisted
instruction ü ______ C.A.L.L. ü ______ writing labs |
|
|
24. In my teaching, I use: ü ______ PowerPoint ü ______ videos ü ______ LCD projected lessons ü ______ music or sound recordings ü ______ Flash movies |
25. What stops me from using
multimedia: ü ______ feel equipment is unreliable ü ______ colleagues don’t use it
either ü ______ takes too long to prepare ü ______ don’t have a clue how to ü ______ afraid students know more
than I do |
|
|
26. What has inspired me to use
technology: ü ______ I have a TechnoGuru ü ______ My colleagues lead the way ü ______ My students encourage me ü ______ Students like it ü ______ I am not inspired |
27. The problem(s) I have with
technology: ü ______ No one modeling techno use ü ______ No training whatsoever ü ______ My training was ineffective ü ______ No support ü ______ No need |
|
|
28. I feel pressure to use computers: ü ______ From my department ü ______ From my students ü ______ From seeing what is on
internet ü ______ I know I should learn more ü ______ no pressure, don’t care |
29. If I knew how, I would like to: ü ______ Make a website for teaching ü ______ Use more internet resources ü ______ Give multimedia lessons ü ______ Get students to use
technology ü ______ Teach distance education |
|
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