Despite continued research into the Community of Inquiry (CoI) framework, the best way to measure each presence of the framework, and in particular social presence, has not been effectively settled in prior research. The purpose of this study was to evaluate the validity of the social presence items in the CoI framework and its subscales, as well…

This chapter discusses the history of source evaluation methods within the ever-changing field of information literacy, including a critical assessment of one popular approach, the CRAAP Test. The author then endorses an alternative approach, lateral reading, which encourages students to engage more deeply when evaluating digital resources in an…

This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…

Online learning has developed rapidly and billions of learners have participated in various courses. However, the high dropout rate is universal and learning performance is not satisfactory. Fortunately, learners have posted a large number of reviews which express their feedback opinions. The fine-grained aspects and opinions existing in reviews…

This systematic review synthesizes 14 peer-reviewed studies from 2015 to 2023, focusing on the assessment methods and delivery of digital microcredentials. Microcredentials provide specialized, focused content and recognize professional learning or competency in specific skills. This paper defines digital microcredentials as those offered in an…

Creative assessments hold the potential to counter outcome-oriented and utilitarian approaches to teaching, characteristic of neoliberal academia. This paper explores the potentialities of digital stories as one form of creative assessment that may help rupture normative ways of teaching-learning and engaging with affective pedagogies. The authors…

Driven by technological innovations, continuous digital expansion has transformed fundamentally the landscape of modern higher education, leading to discussions about evaluation techniques. The emergence of generative artificial intelligence raises questions about reliability and academic honesty regarding multiple-choice assessments in online…

This paper presents the experimental work developed to measure the learning process through concept map analysis. The development of a concept map is requested by the students for each chapter or theme of the subject. As a result, maps from engineering courses have been analyzed. The measurements carried out consider several parameters, such as…

Information technology advancements have facilitated the widespread adoption of online education, providing learners with more flexible and convenient means of accessing educational resources and completing learning tasks. To improve the quality of online education and promote collaborative learning, online assessment is crucial in this…

This paper reviews 38 studies conducted between 2015 and 2022 on collaborative assessments in open-distance and e-learning (ODeL) contexts, focusing on the benefits, types, challenges, and strategies to improve collaborative assessments. This qualitative review aims to investigate collaborative assessments within the ODeL comprehensively. The…

Although graduate academic institutions implement diverse annual review processes, their overall intent is focused on ensuring continuous improvement of program quality (National Institute for Learning Outcomes Assessment, 2020). Through program review processes, university leaders (e.g., department chairs, program leads) analyze student…

With the popularity of online one-to-one tutoring, there are emerging concerns about the quality and effectiveness of this kind of tutoring. Although there are some evaluation methods available, they are heavily relied on manual coding by experts, which is too costly. Therefore, using machine learning to predict instruction quality automatically…

In this paper, we present an approach for online course evaluation based on learners' behaviors during the learning process, where the course creator can monitor the quality status of their online courses based on learners' learning outcomes and then intervene to improve the success rate. For this purpose, a set of criteria has been developed.…

Validation is needed for any newly developed model or framework because it requires several real-life applications. The investment made into e-learning in medical education is daunting, as is the expectation for a positive return on investment. The medical education domain requires data-wise implementation of e-learning as the debate continues…

E-learning is the process of sharing knowledge out of the traditional classrooms through different online tools using internet. The availability and use of these tools are not easy for every student. Many institutions gather e-learning feedback to know the problems of students to improve their systems. In e-learning systems, typically a high…