The FOUNDATION page covers the definition, history, scholars, trends and learning theories in the Instructional Design and Technology (IDT) Field as well as my reflections of the CSUSB Course ETEC 5000 - Foundations of Instructional Design.
The collaborative process and implementation of curating learning experiences to improve learner performance, including the pre- and post-learning analysis and evaluation of the learning experience’s efficacy.
World War II began an incredibly high need for effective and quick training programs to prepare the populace for war, and thus the war was a catalyst for the field of instructional design and technology. Psychologists and educators were called in to design effective training for potential soldiers. Psychologists designed assessments and subsequent instruction based on attributes that made candidates successful.
After the war, there was a widespread adoption and application of the most effective media at the time – namely, film, slides, television, and audio. The goal of the instructional design and media was the quick dissemination of information to targeted audience members to train them in very specific skills of war, but after the war, the focus on instruction shifted to civilian needs.
The mid-50s until the 1970s saw a proliferation of various instructional design models ranging from the Programed Instruction Movement of the mid-50s to the mid-60s, the advent of Behavioral Objectives starting in the mid-60s, and the first academic journal - the Journal of Instructional Development - in the 70s.
This period bore the fruit of the ideas about instructional design seeded back during the 40s and early 50s, and an explosion of innumerable theories (and theorists) contributed to the field. Some of the more well-known scholars from this time included Benjamin Bloom and his taxonomy of educational objectives for knowledge-based goals, Robert Gagne and his 9 events of instruction, and Robert Glaser and his notion of Criterion-Referenced Testing.
From this proliferation of ideas came the widespread adoption and professionalization of the field in multiple sectors, including the military, academia, education and the private sector. Moreover, many nations also began using instructional design as a means to address any of their instructional needs.
The explosive growth of the field may have slowed in the 80s but did not stop by any means. The 1980s is still marked by a growth in adoption across many sectors but a shift had begun away from the Behaviorist theories of Skinner and Pavlov and more towards the emerging theory of Cognitivism. Furthermore, the advent of personal computers inspired designers to turn their attention to creating instruction using this new technology. The 80s were marked by some growing pains - learning how to navigate new technologies and learning theories.
During the 1990s, whereas the focus prior had been on learning objectives, designers started to focus on an emphasis of authentic tasks as markers of successful instruction. These tasks should focus on issues a learner would realistically face on the job. Additionally, the 90s were marked by the rise in a new learning theory - Constructivism. Like with the 80s, instructional designers were learning how to navigate ever more novel technology and learning theories.
The start of the new millennium ushered in the revolutionary and widespread rise of the internet in the early 2000s and its evolution to the "Web 2.0". During the 00s and 10s, the internet played a vital role in the development of online learning, distance learning, and other web-enabled forms of education. This provided struggles to instructional designers and figuring out the best ways of delivering online instruction.
During this time (and continuing to the present) the concept of informal learning also became something for instructional designers to consider. With this, the rise of a new learning theory was added to the mix - Connectivism: a learning theory for digital learning. Instructional designers will need to see how the use of social media, smartphones, virtual/augmented reality, and other emerging technologies impact the field of Instructional Design.
This section covers many of the foundational scholars/contributors of the IDT field. While there are many more that I could not address here, these are the scholars who come to mind.
Contributed heavily to the classification of educational objectives with his taxonomy of higher order thinking, commonly called "Bloom's Taxonomy" His hierarchical classification is still widely used in the trenches of K-12 and adult education to this day.
A key psychologist the contributed heavily to the field of instructional design with his Conditions of Learning theory and his Nine Events of Effective Instruction, colloquially called Gagne's 9 Events. This is the cornerstone for basic teacher instruction.
Contributed heavily to the conceptualization of learning and instruction in the digital era with his theory of Connectivism. that focuses on how learners access information and valuing up to date information as a form of currency.
A key psychologist of the Behaviorist movement and is considered the creator of “operant conditioning” - that being where a behavior is either reinforced, changed or discouraged through training/conditioning
The educational psychologist most associated with the notion of Criterion-Referenced Instruction, he showed that these measures could be used to assess and backward-design instruction based on what designers hope the learner to achieve.
A Soviet-era psychologist best known for his work on the notion of Social Constructivism and introduced the importance of how interaction with other humans influence our conceptualization, processing, understanding of new information.
Since the forced use of distance education during the COVID-19 Pandemic at the start of 2020, there has been a renewed interest in effective instructional design. There has been a renewed emphasis in collaboration in distance learning - attempting to foster online communities of learners in a digital space. A shift hybrid learning has also been observed as instructional designers attempt to balance the autonomy of distance education with the need for human connection in the learning process. Furthermore, as new technologies rise - Virtual and Augmented reality, AI generated content, and so on, Instrutional Designers will have to balance how best to use these technologies in a post COVID-19 world - where technology is simultaneously ubiquitous and unavoidable while the world yearns for a return to human interaction.
Behaviorism focuses on performance modification when given particular stimuli. The traditional view by B.F. Skinner focuses on the antecedent, behavior, and then the consequences of that behavior with the goal of creating new neural pathways between the antecedent and consequences (Skinner, 1950) Examples could include a green light meaning go or a correct answer will result in a triumphant noise and confetti on screen. The Pavlovian model distinguishes between Classical Conditioning and Skinner’s Operant Conditioning whereby the former takes a neutral stimulus and conditions a response to it and the latter provides negative/positive reinforcement and punishment. Pavlov is famous for training dogs to salivate to previously-neutral stimuli.
Cognitivism is a learning theory that focuses less on what a learner can do, but when learner can articulate what they know and how they know it. Cognitivism is a direct reaction to the previous notion of behaviorism whereby behaviorism minimizes the role the brain has in the learning process. (Ertmer & Newby, 2013). Under this model, learners take a more active role in the learning process by, for example, examining what they know, don’t know, want to know, and (eventually) have learned about a topic. Making the learner aware of their own journey of learning a topic is crucial to cognitivism.
Constructivism comes in two strands: Individual and Social Constructivism, and their creation is usually attributed to Jean Piaget and Lev Vygotsky, respectively. Piaget’s model focuses on the internalization and the processing of information to create (construct) meaning/interpretation. This model is shaped by his findings on the cognitive development of children. When something is learned, the person activates prior knowledge of the subject as a reference point to make sense of the topic. From the Vygotskyan perspective, constructivism is a social endeavor. Humans use the same meaning-making internalization and process, but the social interaction acts as an external force that shapes our interpretation (whereas prior knowledge is the internal force).
Connectivism is a way of understanding the learning process for the digital age. It suggests that learning happens nowadays in an organizational way (via many points of entry: social media, experts, peers, etc.) Connectivism was first coined by George Siemens in 2005 and challenges the previous notions of Behaviorism, Cognitivism, and Constructivism. His main criticisms were that with the original three learning theories, learning occurs inside the learner and does not consider the learning that happens outside the individual and within collections of individuals (Siemens, 2005). Essentially, Siemens – and by extension, Connectivism – believes that (1) learning requires diverse opinions, (2) learning is a process of connecting “nodes” of information sources, (3) maintaining connections to these nodes are vital for learning, (4) we can learn from non-human sources, (5) accurate and up-to-date information is a type of “currency”, and (6) decision-making is itself a type of learning process.
This section reflects upon the knowledge and skills I learned in the foundational course of my master's degree and how I might apply these skills in my future career.
Click here to read my reflection.
In 15 short weeks, we have covered an immense amount of material and applications of that knowledge. We began with an introduction to the history of the field, the many iterations of the purpose of the field, and the evolution of the field as successive waves of new technology entered our world. We absorbed essential fundamental learning theories and integrated them into hypothetical lessons. We navigated a fascinating maze of academic journals to professionalize us into the field of IDT. We tackled HTML coding and development tools for creating our own websites from scratch and mastered various industry vocabulary necessary to enter the field prepared. We researched industry trends and interviewed professionals. And lastly, we created a website to document our knowledge, and we contemplated and constructed our educational philosophy.
I have learned so much about a field that last year I wasn't aware even existed. As a teacher, I knew some of the theoretical approaches, but to apply those theoretical approaches using technology was incredibly rewarding. I felt like I could finally funnel my theoretical knowledge into real-world technical applications. I found coding to be the most challenging and rewarding component of my foundational class. To see my code work, even in its infancy, is very satisfying.
I am not sure in what direction I want to take my new skills - do I apply them to the classroom, or should I move into the public sector? Despite my uncertainty, I am glad I have options as I once thought teaching in a classroom was the end of my educational journey. I am happily mistaken. I look forward to learning all I can about the field and the future of education via technology. I feel as though the future of education is bright and I have goals towards which I can travel.
In this assignment, I examine my own educational philosophy and compare it to various learning theories discussed in ETEC 5000. I then explain how technology can best be integrated to align with my educational philosophy.
Below are all the references used in this section
Anderson, Krathwohl, D. R., Bloom, B. S., & Bloom, B. S. (Benjamin S. (2001). A taxonomy for learning, teaching, and assessing: a revision of Bloom’s taxonomy of educational objectives (Anderson & D. R. Krathwohl, Eds.; Abridged ed.). Longman.
Ertmer, & Newby, T. J. (2013). Behaviorism, Cognitivism, Constructivism: Comparing Critical Features From an Instructional Design Perspective. Performance Improvement Quarterly, 26(2), 43–71. https://doi.org/10.1002/piq.21143
Glaser, R. (1963.) Instructional technology and the measurement of learning outcomes: Some questions. American Psychologist, 18, 519-521
Reiser, & Dempsey, J. V. (2018). Trends and issues in instructional design and technology (4d ed.) Pearson.
Siemens, G. (2005). Connectivism: A learning theory for the digital age. International Journal of Instructional Technology & Distance Learning, http://www.itdl.org/jan_05/article01.htm
Skinner, B. F. (1950). Are theories of learning necessary? Psychological Review, 57(4), 193–216. https://doi.org/10.1037/h0054367
Woolfolk, A. (2010). Educational psychology (11th ed).