Bloom-epistemic and sentiment analysis hierarchical classification in course discussion forums

Online discussion forums are widely used for active textual interaction between lecturers and students, and to see how the students have progressed in a learning process. The objective of this study is to compare appropriate machine-learning models to assess sentiments and Bloom’s epistemic taxonomy based on textual comments in educational discussion forums. The proposed method is called the hierarchical approach of Bloom-Epistemic and Sentiment Analysis (BE-Sent). The research methodology consists of three main steps. The first step is the data collection from the internal discussion forum and YouTube comments of a Web Programming channel. The next step is text preprocessing to annotate the text and clear unimportant words. Furthermore, with the text dataset that has been successfully cleaned, sentiment analysis and epistemic categorization will be done in each sentence of the text. Sentiment analysis is divided into three categories: positive, negative, and neutral. Bloom’s epistemic is divided into six categories: remembering, understanding, applying, analyzing, evaluating, and creating. This research has succeeded in producing a course learning subsystem that assesses opinions based on text reviews of discussion forums according to the category of sentiment and epistemic analysis

Developing world MOOCs: A curriculum view of the MOOC landscape

MOOCs offer opportunities but are also pose the danger of further exacerbating existing educational divisions and deepening the homogeneity of global knowledge systems. Like many universities globally, South African university leaders and those responsible for course, curriculum, and learning technology development are coming to grips with the implications and possibilities of online and open education for their own institutions. What opportunities do they offer to universities, especially from the point of view of research-focused campus-based institutions which have not yet engaged with MOOCs and have little history with online courses? Given the complexities of the MOOC-scape, this paper provides a means for contextualising the options within an institutional landscape of educational provision as possibilities for MOOC creation, use and adaptation. This takes into account what is currently available and identifies what new opportunities can be explored. Refining this further, a categorisation of existing MOOCs is provided that maps to broad institutional interests. The notion of courses offered by universities as being either primarily ‘inward’ or ‘outward’ facing is explained. Five categories of MOOCs are described: Category One, Teaching Showcase; Category Two, Gateway Skills; Category Three, Graduate Skills; Category Four, Professional Skills and Category Five, Research Showcase. These are elaborated on and examples provided. This taxonomy provides a nuanced way of understanding MOOCs and MOOC type courses in order for educators to strategically prioritise and decision makers to support the full gamut of emergent opportunities

Massive Open Online Courses (MOOCS): Emerging Trends in Assessment and Accreditation

In 2014, Massive Open Online Courses (MOOCs) are expected to witness a phenomenal growth in student registration compared to the previous years (Lee, Stewart, & Claugar-Pop, 2014). As MOOCs continue to grow in number, there has been an increasing focus on assessment and evaluation. Because of the huge enrollments in a MOOC, it is impossible for the instructor to grade homework and evaluate each student. The enormous data generated by learners in a MOOC can be used for developing and refining automated assessment techniques. As a result, “Smart Systems” are being designed to track and predict learner behavior while completing MOOC assessments. These automated assessments for MOOCs can automatically score and provide feedback to students multiple choice questions, mathematical problems and essays. Automated assessments help teachers with grading and also support students in the learning processes. Theseassessments are prompt, consistent, and support objectivity in assessment and evaluation (Ala-Mutka, 2005). This paper reviews the emerging trends in MOOC assessments and their application in supporting student learning and achievement. The paper concludes by describing how assessment techniques in MOOCs can help to maximize learning outcomes.AbstractIn 2014, Massive Open Online Courses (MOOCs) are expected towitness a phenomenal growth in student registration compared to the previous years. As MOOCs continue to grow in number, therehas been an increasing focus on assessment and evaluation. Because of the huge enrollments in a MOOC, it is impossible for the instructor to grade homework and evaluate each student. The enormous data generated by learners in a MOOC can be used for developing and refining automated assessment techniques. As a result, "Smart Systems" are being designed to track and predict learner behavior while completing MOOC assessments. These automated assessments for MOOCs can automatically score and provide feedback to students multiple choice questions, mathematical problems and essays. Automated assessments help teachers with grading and also support students in the learning processes. These assessments are prompt, consistent, and support objectivity in assessment and evaluation (Ala-Mutka, 2005). This paper reviews the emerging trends in MOOC assessments and their application in supporting student learning and achievement. The paper concludes by describing how assessment techniques in MOOCs can help to maximize learning outcomes

The Digital Learning Laboratory Model to Catalyze Change in University Teaching and Learning

This paper outlines a unique model catalyzing change in teaching and learning known as the Digital Learning Laboratory (DLL) model that a large research university in the northeastern United States currently employs. We focus here on the MOOC work that the individuals in the DLL lead that have spread to improvements in teaching practices and learning experiences across departments beyond MOOCs. We discuss the MOOC development process and the ways in which this process can differ greatly from the development of an in-person course creating the initial and continued need for the DLL. Then, we describe the Digital Learning Laboratory, a community of practice of academics with advanced degrees in their field of specialization and housed in the relevant departments across our university. Finally, we discuss potential advantages of this model, including having a person with subject-matter expertise leading MOOC and hybrid projects and thereby not requiring a different tenure-track faculty member to learn MOOC development skills for each new course.Sandland, JG.; Wiltrout, ME. (2020). The Digital Learning Laboratory Model to Catalyze Change in University Teaching and Learning. En 6th International Conference on Higher Education Advances (HEAd'20). Editorial Universitat Politècnica de València. (30-05-2020):275-282. https://doi.org/10.4995/HEAd20.2020.1103827528230-05-202

Moving Beyond MOOC Mania: Lessons from a Faculty-Designed MOOC

Massive open online courses (MOOCs) have attracted fame, perhaps even notoriety, in recent years. However, we have yet to articulate clearly the purpose and potential for MOOCs. Moreover, we lack established best practices in the process of designing MOOCs. We lack models for practical use by faculty and early career instructional designers, whose group members function with limited resources but would like to engage in the intriguing process of MOOC design. The first goal for this case study is to demonstrate how a MOOC titled Adventures in Learning Design, Technology, and Innovation (#LDTIMOLO) was developed following the ADDIE framework and theoretical perspectives of heutagogy and connectivism, and how that MOOC was evaluated with an emphasis on learner engagement. The second goal is to discuss the purpose and potential power of MOOCs and to reveal the surprising impact on graduate students that resulted from “wrapping a course around a MOOC” (Bruff, Fisher, McEwen, & Smith, 2013). The study explores questions regarding: How was ADDIE used in the design of #LDTIMOLO?What does engagement look like in #LDTIMOLO?What are the design lessons learned from evaluating #LDTIMOLO?What is the purpose of a MOOC?What are the reasons that participants took this MOOC (#LDTIMOLO)?What is the role of a MOOC instructor/facilitator?What is the impact of #LDTIMOLO on the participating graduate students?What is the best course of action for me moving forward with faculty-designed MOOCs

The MOOC phenomenon: the current situation and an alternative business model

Massive Open Online Courses (MOOCs) are a recent phenomenon that has achieved great media impact in the world of e-learning since the most prestigious US universities, and subsequently many others, became involved in them. In the last ten years changes that have occurred since the emergence of the Web 2.0, with the development of Open Social Learning (OSL) and the rise of OpenCourseWare (OER), leading to the MOOC phenomenon. Initially, and as part of this OER movement, MOOC began with the intention of providing open knowledge to people, with the understanding that it should be an asset to humanity (UNESCO 2012). In this paper we present a descriptive overview of the MOOC movement from its beginnings to the different business models being proposed

Design and Implementation of a Distance Training Device of Physical and Sports Education’s Future Teachers : Application of ADDIE Model

Distance learning has largely infiltrated several higher education institutions in Morocco driven by the expansion of opportunities offered by information and communication technologies such as ODL, MOOC, SPOC. However, countless challenges continue to hamper the design, implementation and evaluation of these devices in education and vocational training for desired effectiveness.                                                                                        The aim of this study is to design an ODL system based on the SPOCs model which aims to develop professional skills for 70 future teachers of Physical and Sports Education.We have used ADDIE model as a methodological tool for our technopedagogical design with its Analysis, Design, Development, Implementation and Evaluation phases.Using Chi-square test, we examined the effect of the following independent variables: form of content, on trained type groups : hybrid and distanced at the threshold of p <.05. The results obtained show that trainee teachers have an increased need for their professional skills development through our FP@STAPS device using various digital resources. Thus, the evaluation of this device has shown its usefulness and effectiveness.The study therefore recommends the integration of this type of training into vocational training centers in Morocco. In addition, the study recommends that its technopedagogical design be based on referenced models such as ADDIE