scholarly journals Applying a framework to document and analyze the learning design intent with learning analytics in an online course

2019 ◽  
Vol 2 (1) ◽  
pp. 23
Author(s):  
Sally Eberhard

“ETEC 565A: Understanding Learning Analytics” was a new course offered in a Master of Educational Technology programme in UBC in January 2019. In order to support students exploring learning analytics in a more relevant way to them, the final project allows students to choose their own learning analytics adventure. This presentation will be a showcase and a reflection of learning from our final (group) project. Our group wanted to focus on learning design and learning analytics. There has been a lot of interests in learning analytics in higher education, it has been appearing in the EDUCAUSE’s Horizon report for many years as a technology to adopt. We also know that learning technologies should support the educational goals. Therefore, it is important for us to understand, how would one combine learning design with learning analytics. Our instructor guided to Lockyer, Heathcote and Dawson (2013)’s work. Their article presented “learning design as a form of documentation of pedagogical intent that can provide the context for making sense of diverse sets of analytic data” (p.1439). Lockyer et al (2013) explored using the checkpoint and process analytics as broad categories of learning analytics and how through this documentation of pedagogical intent and the related learning analytics that can be collected, could support pedagogical actions.   Our instructor has given us permission to use our course as an example to apply Lockyer et al (2013)’s framework and conduct our analysis on the course. Our group also had access to some learning analytics data ourselves, through the “Threadz” tool for analysing our discussion forum activities. For all other types of data that we did not have access to, we made comments on what the data could be used for, and if it would provide enough information to assess if the pedagogical intent was met. Comments were also made about potential data that could have been better for informing pedagogical actions but were either not possible to get or too difficult and unpractical.   In the presentation, I will share some backgrounds for the Lockyer et al (2013)’s framework for aligning learning analytics with learning design, how one could use the framework to document their own course design and identify potential learning analytics data sources or the lack of. As the framework provides teachers and designers a tool to think, plan and reflect with. I will discuss some of our group’s findings and reflections from the analysis of our own online course.  Then discuss about potentials of using such framework on a more traditional face-to-face course.   As institutions and courses collect more data about their students, it is useful to have a framework to help teachers think about how they might use the learning analytics data to support their students through examining and documenting their pedagogical intents. It is also important to note what the existing data can and cannot do to support pedagogical goals.

Author(s):  
Hongxin Yan ◽  
Fuhua Lin ◽  
Kinshuk

AbstractOnline education is growing because of its benefits and advantages that students enjoy. Educational technologies (e.g., learning analytics, student modelling, and intelligent tutoring systems) bring great potential to online education. Many online courses, particularly in self-paced online learning (SPOL), face some inherent barriers such as learning awareness and academic intervention. These barriers can affect the academic performance of online learners. Recently, learning analytics has been shown to have great potential in removing these barriers. However, it is challenging to achieve the full potential of learning analytics with the traditional online course learning design model. Thus, focusing on SPOL, this study proposes that learning analytics should be included in the course learning design loop to ensure data collection and pedagogical connection. We propose a novel learning design-analytics model in which course learning design and learning analytics can support each other to increase learning success. Based on the proposed model, a set of online course design strategies are recommended for online educators who wish to use learning analytics to mitigate the learning barriers in SPOL. These strategies and technologies are inspired by Jim Greer’s work on student modelling. By following these recommended design strategies, a computer science course is used as an example to show our initial practices of including learning analytics in the course learning design loop. Finally, future work on how to develop and evaluate learning analytics enabled learning systems is outlined.


2021 ◽  
Vol 18 (6) ◽  
Author(s):  
Krystyna Krzyszkowska ◽  
Maria Mavrommati

: Education authorities in Norway endorse online courses for in‑service teachers to raise education standards and to promote digital competence. Naturally, these offerings present teachers with opportunities to integrate new theoretical perspectives and their professional experience in an online learning community. The inquiry into one's professional practice, enhanced by critical reflection in a group of fellow professionals, is considered essential for a lifelong learning practitioner, however, the emerging examples of instructional design tend to prioritise content delivery rather than professional discourse. In this paper, we demonstrate how the Community of Inquiry (CoI) framework could be adopted to transform learning design, which prioritises the delivery of individual assignments, into a more collaborative learning experience. Using the CoI instructional design principles and the associated questionnaire, we have investigated student perceptions of learning via an online course and formulated recommendations about how the course design can be refined to promote learning in the community. Despite the modest evidence, this investigation can serve as an example of how a concrete learning design can be improved based on this validated e‑learning model.


2019 ◽  
Vol 12 (21) ◽  
pp. 21 ◽  
Author(s):  
René Boyer Christiansen ◽  
Karsten Gynther ◽  
Rasmus Jørnø

This paper presents an approach to the meaningful use of learning analytics as a tool for teachers to improve the robustness of their learning designs. The approach is based on examining how participants act within a Massive Open Online Course (MOOC) format through learning analytics. We show that a teacher/designer can gain knowledge about his or her intended, implemented and attained learning design; about how MOOC participants act in response to these and about how students are able to develop ‘study efficiency’ when participating in a MOOC. The learning analytics approach makes it possible to follow certain MOOC students and their study behaviour (e.g. the participants who pass the MOOC by earning enough achievement badges) and to examine the role of the moderator in MOOCs, showing that scaffolding plays a central role in studying and learning processes in an educational format such as a MOOC. Key words: MOOCs, Massive Open Online Courses, data-saturated, learning analytics, learning design, educational design research, LMS.


Author(s):  
Greg Zilberbrant ◽  
Allan MacKenzie

McMaster University’s School of Engineering Technology (SET) offered a unique course structure to students in their final undergraduate term in the 2015-2016 academic year. The intention of the program chair and instructor was to deliver a course that taught sustainability and ethics in a context that would be applicable to 105 Bachelor of Technology (B.Tech.) engineering technology students preparing to commence their careers at the end of the term. The course focused on the delivery of a final project of the students’ choosing that connected to a real-world sustainability issue supported by weekly lectures and testing. The unique delivery style was an experiential learning approach mimicking the dynamics of a real-world project involving client and stakeholder management – concepts that the students were introduced to in prerequisite courses. The project criteria stipulated a “new-worthy” topic which forced the students to be up-to-date and adjust their project work throughout the term based on changes in the media interest, public opinion, or political involvement. Students were challenged to not only look at the problem and address the applicable environmental, social, and economic aspects but to further develop communication strategies within the political context and societal acceptance/understanding of the issue. The evaluation of the course success is reviewed based on student feedback and a formal focus-group session conducted by McMaster Institute for Innovation & Excellence in Teaching & Learning (MIIETL) which highlighted students “felt engaged with the material and described the project as their ‘greatest intellectual challenge’ of the B.Tech. program.” For the purpose of knowledge sharing, this paper will discuss the course design, innovative instructional approach, group project attributes and outcomes from a student the focus-group.


2012 ◽  
Vol 16 (3) ◽  
Author(s):  
Laurie P Dringus

This essay is written to present a prospective stance on how learning analytics, as a core evaluative approach, must help instructors uncover the important trends and evidence of quality learner data in the online course. A critique is presented of strategic and tactical issues of learning analytics. The approach to the critique is taken through the lens of questioning the current status of applying learning analytics to online courses. The goal of the discussion is twofold: (1) to inform online learning practitioners (e.g., instructors and administrators) of the potential of learning analytics in online courses and (2) to broaden discussion in the research community about the advancement of learning analytics in online learning. In recognizing the full potential of formalizing big data in online coures, the community must address this issue also in the context of the potentially "harmful" application of learning analytics.


2021 ◽  
Vol 2021 (169) ◽  
pp. 15-33
Author(s):  
Penny Ralston‐Berg ◽  
Heather Braatz

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 604-604
Author(s):  
Sara Police ◽  
Jessie Hoffman,

Abstract Objectives The purpose of this project was to design, develop and implement an online two-credit course, Drug & Nutrient Interactions, as an elective for a new online Graduate Certificate in Applied Nutrition and Culinary Medicine at the University of Kentucky. Methods Drug & Nutrient Interactions was designed to meet the needs of select student cohorts: undergraduate Pharmacology minors, graduate students enrolled in the Masters in Nutritional Sciences program, and online graduate certificate students. Faculty within the Dept. of Pharmacology and Nutritional Sciences and the Division of Clinical Nutrition were consulted to identify curricular gaps and to avoid redundancy across programs. Instructional designers were consulted to identify evidence-based best practices in online course design and teaching. Results Content of the Drug and Nutrient Interactions course is structured within four thematic modules: 1. Introduction to Pharmacology and Food & Drug Interactions, 2. Exploring Drug-Nutrient Interactions, 3. Genes, Bugs & Time, and 4. Current and Future Directions in Nutrition & Pharmacology. Each module is three to four weeks in duration, to span a 14-week semester. Each week, students’ tasks include reading, watching, writing, and reviewing content related to the student learning objectives. Methods to promote student engagement with the content recur week-to-week, to ensure consistency for students’ experience. An eBook was written by the instructors to provide a current and interdisciplinary review of the intersections of nutritional sciences and pharmacology in the course. In lieu of proctored online exams, module-level assignments assess students’ achievement of learning outcomes. Drug & Nutrient Interactions launched in fall 2019 with nine students enrolling and completing the course. Course analytics track student engagement by logging page views and participation. Increasing students’ page views and participation align with due dates for module assignments. Therefore - in spring 2020, deadlines were shifted to a weekly timeline to foster consistent engagement. Conclusions Instructors should explore various methods to foster student-content, student-student and student-instructor engagement in an online learning environment. Funding Sources This course project was funded by a UK Online award & an Alternative Textbook grant.


2012 ◽  
Vol 482-484 ◽  
pp. 2253-2256
Author(s):  
Lin Jin ◽  
Tong Zhao

Network courses construction and research, explained the concept and the content of Network curriculum, the main technical keys of the network course construction, and discusses the methods of using Dreamweaver Web Editor developing network course based on Web platforms. "Digital Electronic Technology" online course design and implementation of an example, introduced the principle of network curriculum design, and the technical Specifications of teaching development.


Author(s):  
Yizhou Fan ◽  
Wannisa Matcha ◽  
Nora’ayu Ahmad Uzir ◽  
Qiong Wang ◽  
Dragan Gašević

AbstractThe importance of learning design in education is widely acknowledged in the literature. Should learners make effective use of opportunities provided in a learning design, especially in online environments, previous studies have shown that they need to have strong skills for self-regulated learning (SRL). The literature, which reports the use of learning analytics (LA), shows that SRL skills are best exhibited in choices of learning tactics that are reflective of metacognitive control and monitoring. However, in spite of high significance for evaluation of learning experience, the link between learning design and learning tactics has been under-explored. In order to fill this gap, this paper proposes a novel learning analytic method that combines three data analytic techniques, including a cluster analysis, a process mining technique, and an epistemic network analysis. The proposed method was applied to a dataset collected in a massive open online course (MOOC) on teaching in flipped classrooms which was offered on a Chinese MOOC platform to pre- and in-service teachers. The results showed that the application of the approach detected four learning tactics (Search oriented, Content and assessment oriented, Content oriented and Assessment oriented) which were used by MOOC learners. The analysis of tactics’ usage across learning sessions revealed that learners from different performance groups had different priorities. The study also showed that learning tactics shaped by instructional cues were embedded in different units of study in MOOC. The learners from a high-performance group showed a high level of regulation through strong alignment of the choices of learning tactics with tasks provided in the learning design. The paper also provides a discussion about implications of research and practice.


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