Benjamin Franklin said, “tell me and I forget, teach me and I may remember, involve me and I learn.” Learning is intrinsic and interwoven into all elements of our lives from birth to death. To function and grow we must learn, and therefore we must have teachers and systems of delivering information so that it can be understood and learned. There are five widely accepted learning theories to build foundations for teaching: behaviorism, cognitivism, constructivism, humanism and connectivism that are generally the foundations for teaching techniques. These were developed from the field of psychology on how people learn. As the ACRL states in the Framework for Information Literacy for Higher Education (Framework), “Information literacy is the set of integrated abilities encompassing the reflective discovery of information, the understanding of how information is produced and valued, and the use of information in creating new knowledge and participating ethically in communities of learning.” There is no best, all in one, correct learning theory and there are now many new categories and subcategories of learning. Thus we must focus on the ideas and themes within the theories, combine, mix and match, to fit our own teaching philosophies and practices. We must determine what best benefits the student’s learning, experience and information literacy.
Teaching is a privilege and an extension of my lifelong love of learning. Much of my evidence for this competency is based on work experience. For the last year and a half while in graduate school I have worked and gained experience teaching as Dr. Loerstcher’s assistant for his graduate students. Along with weekly Zoom workshops and instruction I facilitated one on one instruction meetings with graduate students to assist students in reaching their learning outcomes using active learning techniques. For the last ten years I have also worked running my own fine art business online, and one of the many services I have offered is art workshops for groups or individuals utilizing different learning theories and practices as needed. I also regularly do tech support lessons for basic technology tools like Microsoft, Google Suite and other scholarly technology tutoring sessions on Zoom with graduate students. The next article of evidence is a blog I wrote on teaching and learning using intrinsic vs. extrinsic motivation theories for learners. I then include a finding aid I created for the National Parks as a learning tool to assist users and students in accessing and understanding oral histories.
My last two pieces of evidence include my work experience shadowing a CSUF librarian teaching information literacy classes at CSUF, and a discussion post on information literacy for INFO 254. With the theories explored below and a personal teaching statement I can apply and adapt these learning models for the needs of future students I will serve.
There are many theories surrounding how we learn, but the following five are the most commonly stated with learning techniques.
The movement of behaviorism which became one of the foundational learning theories is rooted in the 19th century with psychologists studying human behavior. This theory focuses on positive reinforcement for student behaviors with repetition to motivate. These kinds of teaching strategies look like drills, question and answers, and positive reinforcement with reward systems (Lamb, 2016). Secondly, we have cognitive learning theory developed from cognitive psychology in the 1950’s with the foundation that thoughts influence behavior. This theory includes student reflections, metacognition and cognitive load theory developed in 1988 by John Sweller. He broke cognitive architecture into three types of memory that all work together for long term retention: intrinsic cognitive load where things must be broken down into small bite size amounts before reassembled later. Extraneous cognitive load which teaches big picture concepts, but leaves out confusing details. Lastly, German cognitive load which focuses on information construction as a learning experience (Lamb, 2016).
After behavior and cognitive the theories become even more conceptual and interrelated with other variables of the learner. In constructivism learning theories variables like the learner’s personal experiences help the learner make their own models of learning. This often looks like lots of questions, exploration and reflection with the teacher as a guide rather than a lecturer. Collaboration and problem based learning with real life examples improve this process and often looks like students constructing knowledge rather than having it transmitted to them. With this comes the humanism theories where students' natural desire to learn and know is woven into lessons with the ultimate goal of the student thought to be self-actualization. This theory explores how students want to be emotionally, physically and cognitively fulfilled. It stresses autonomy of learning experiences to allow students to satiate their own learning needs (Lamb, 2016). Finally, there is connectivism learning theory that takes the broadest perspective that learning is formed through connection with others and all elements of life. This theory proposes that how these connections are formed creates a network of learning. This builds off of cognitivism, but focuses on learning residing within the commuting and connection network and knowledge within individuals (Gandhi & Mucherji, 2022). From this theory many universal designs for learning and inclusive teaching strategies have been developed (Cash et al., 2021).
My favorite learning technique is active learning, this is what I participated in regularly as Dr. Loertscher’s student teaching assistant where students were encouraged to think, discuss, and create in group collaborative online documents and do on the spot problem solving together. The goal is to encourage engagement with course materials through active methods drawing on constructivist and humanist theory. Instead of lecturing passively at students as an expert, this technique rejects the “teach by telling” approach and engages students in the learning process producing “higher-order thinking” with the expert instructor offering feedback and guidance as needed (Freedman et al., 2014). This technique has been shown to promote equity in university settings in Science Technology Engineering and Math (STEM) courses reducing or eliminating achievement gaps (Theobald et al., 2020).
When designing learning experiences we must recognize the “curse of knowledge” that we might be an expert for the lesson, but the student is a novice, and so we must create learning experiences designed with them in mind and their information needs with the path of least resistance (Booth, 2010). Many librarians who teach information literacy in academic settings have developed theories of instructional design models utilizing the principles above to aid students in reaching their learning goals (Davis, 2013). This often starts with an evaluation of the “problems” learners face, in learning performance and then creating and designing instruction based on their needs and understanding of learning theories. Students have diverse needs and thus learning experiences must be designed individually for them to all succeed.
Description: Over the last year and a half I have assisted Dr. David Loertscher as his student assistant. This involved editing instructional materials and facilitating weekly Zoom workshops for his entire INFO 250 and 266 classes. I provided one on one technology support, tutorials and instruction for his students for elements of assignments. I assisted in creating and facilitating online collaborative learning discussions on Jamboard, where students would brainstorm concepts together. I often acted as a webmaster or project manager for the term projects students would work on that were displayed on the class google site. This demonstrates that I can work collaboratively in a learning environment and create projects and tools using learning theories. Other times I combined active and passive teaching by demonstrating a complex cross-disciplinary search in One Search using multiple databases for a question; and then have them repeat the process step by step while verbalizing the process as we went. For many technology lessons it is about establishing an understanding of what tools the student is currently working with, what they have access to, and modifying the lesson based on their skill set and access. Other times it might be a better fit to ask more questions and discover together as if you are walking the same path.
Justification: This shows my ability to apply active learning techniques along with constructionist and connectionist theories of learning. It also demonstrates that I have the ability to communicate in different styles depending on the needs of the students.
Learning Materials I have assisted in or edited as Dr. Loertscher's student assistant:
Description: In INFO 200 I looked at an information community with specific needs, evaluating cultural context, and learning theories based on cognitive learning principles and the perception of libraries as a formal institution that is inaccessible to the information community. I explore intrinsic vs. extrinsic motivations in individuals with information needs and how this motivation affected their learning.
Justification: This shows my ability to identify and evaluate an information community's needs, and create a teaching strategy that caters to the motivations and learning theories that best suit this community.
Description: For the National Park’s Golden Gate Museum Archive program I created multiple finding aids for oral history projects. This piece of evidence is a finding aid for Harry Robert’s Oral History in 1975. He was an agronomist for the Green Gulch Ranch, and talked about many topics related to the National Parks. The finding aid contains an introduction with a park description, a historical note and scope of collections that came from their template, followed by instructions on how to use the finding aid and the whole collection, summary, formats, keywords and index, followed by the audited transcripts.
Justification: This evidence demonstrates that I understand how to put together and organize educational materials that could be used for teaching and learning.
Description: For my last semester I am an intern for the CSUF Pollak Library Reference Center, and I am also shadowing teacher librarians to observe and learn different information literacy class teaching styles for undergraduate college students.
Justification: I now have a detailed understanding of how to structure an active learning environment to teach information literacy classes tailored to the specific major of the student. As an example, I shadowed and took notes on the teaching style of the Political Science Reference Librarian at CSUF who was teaching college students how to properly cite sources, how to utilize all the library resources, and how to have healthy information literacy skills using cognitive load theory. This librarian brought “swag” as motivating final prizes, and used an online game that anyone with a smartphone or laptop could participate in, turning the whole learning experience into a game, while also testing their knowledge and understanding of broader concepts and specific information literacy tools and digital literacy understanding.
Description: In a discussion post for INFO 254 I evaluated the differences and possible future applications of ACRL Information Literacy framework. I break down the definition into key words and relate it to different applications.
Justification: This demonstrates my knowledge and understanding of some of the key learning principles surrounding information literacy and also the conceptual nature of the definition. This shows how I can have a big picture perspective of the learning concepts and theories and how I can then apply them to a different field of study.
I believe with enough time, and creative approaches to the content, a student can learn anything and spark a deeper curiosity that could grow to new levels of knowledge and understanding. By embracing our diversity and unique perspectives we can work collectively in learning environments. A successful lesson is one where students walk away with more than they came with. Often in digital literacy lessons I see students leave with the skills and understanding to get started on the next lesson independently, and with a deeper understanding of the process. So even when they do not know the answers, they know how to start on their journey. None of us have all the answers, but if we know the process of discovery, and a foundation of tools and understanding to begin, we can learn anything.
ACRL. (2015). Framework for Information Literacy for Higher Education. http://www.ala.org/acrl/standards/ilframework
Booth, C. (2010). Reflective teaching, effective learning: Instructional literacy for library educators. American Library Association.
Cash, C., Cox, T., & Hahs-Vaughn, D. (2021). Distance educators attitudes and actions towards inclusive teaching practices. The Journal of Scholarship of Teaching and Learning, 21(2). https://doi.org/10.14434/josotl.v21i2.27949
Davis, A. L. (2013). Using instructional design principles to develop effective information literacy instruction: The ADDIE model. College & Research Library News, 74(4), 205-207. http://crln.acrl.org/content/74/4/205.full
Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014, May 12). Proceedings of the National Academy of Sciences, 111(23), 8410–8415. https://doi.org/10.1073/pnas.1319030111
Gandhi, M. H., & Mucherji, P. (2022, July 19). Learning theories - statpearls - NCBI bookshelf. National Library of Medicine . Retrieved February 4, 2023, from https://www.ncbi.nlm.nih.gov/books/NBK562189/
Lamb, A. (2016). Learning Theory. In Information instruction: Strategies for library & information professionals [Online course]. Retrieved January 30, 2023, from https://eduscapes.com/instruction/6.htm
Theobald, E. J., Hill, M. J., Tran, E., Agrawal, S., Arroyo, E. N., Behling, S., Chambwe, N., Cintrón, D. L., Cooper, J. D., Dunster, G., Grummer, J. A., Hennessey, K., Hsiao, J., Iranon, N., Jones, L., Jordt, H., Keller, M., Lacey, M. E., Littlefield, C. E., … Freeman, S. (2020, February 7). Proceedings of the National Academy of Sciences, 117(12), 6476–6483. https://doi.org/10.1073/pnas.1916903117