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Nazanin Nezami; Parian Haghighat; Denisa Gándara; Hadis Anahideh – Grantee Submission, 2024
The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…
Descriptors: Evaluation Methods, College Students, Success, Predictor Variables
Chavan, Pankaj; Mitra, Ritayan – Journal of Learning Analytics, 2022
The use of online video lectures in universities, primarily for content delivery and learning, is on the rise. Instructors' ability to recognize and understand student learning experiences with online video lectures, identify particularly difficult or disengaging content and thereby assess overall lecture quality can inform their instructional…
Descriptors: Learning Analytics, Video Technology, Lecture Method, Online Courses
Marjahan Begum; Pontus Haglund; Ari Korhonen; Violetta Lonati; Mattia Monga; Filip Strömbäck; Artturi Tilanterä – Informatics in Education, 2024
There can be many reasons why students fail to answer correctly to summative tests in advanced computer science courses: often the cause is a lack of prerequisites or misconceptions about topics presented in previous courses. One of the ITiCSE 2020 working groups investigated the possibility of designing assessments suitable for differentiating…
Descriptors: Foreign Countries, College Students, Prerequisites, Computer Science Education
Leif Sundberg; Jonny Holmström – Journal of Information Systems Education, 2024
With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…
Descriptors: Artificial Intelligence, Conventional Instruction, Data Collection, Models
Marshik, Tesia; Driscoll, Adam; Remsburg, Alysa; Yu, Alder; Dutta, Nabamita; Klein, Jennifer – Assessment & Evaluation in Higher Education, 2023
Student evaluations of teaching (SETs) are a ubiquitous feature of higher education. However, scholars have presented numerous challenges to the accuracy, validity, reliability and objectivity of SETs as a measure of teaching effectiveness. Given the potential for bias, the use of SETs in professional review may constitute a form of institutional…
Descriptors: Student Evaluation of Teacher Performance, Evaluation Methods, College Students, Student Attitudes
Bolick, Madeleine M.; Mikhailova, Elena A.; Post, Christopher J. – Education Sciences, 2022
The use of unmanned aerial vehicles (UAVs) has increased in the science, technology, engineering, and mathematics (STEM) professions. This means there is a growing need to integrate UAV training into STEM education. This study aimed to develop and evaluate a UAV education module and laboratory exercise for natural resource science students. The…
Descriptors: Instructional Innovation, STEM Education, Aviation Technology, Electronic Learning
Wonkyung Choi; Jun Jo; Geraldine Torrisi-Steele – International Journal of Adult Education and Technology, 2024
Despite best efforts, the student experience remains poorly understood. One under-explored approach to understanding the student experience is the use of big data analytics. The reported study is a work in progress aimed at exploring the value of big data methods for understanding the student experience. A big data analysis of an open dataset of…
Descriptors: College Students, Data Analysis, Data Collection, Learning Analytics
Cha, Jeongho; Kan, Su-Yin; Chia, Poh Wai; Chia, Poh San – Asian Journal of University Education, 2022
One of the challenges that science teachers face is the lack of strategy/method to train students in data collection and developing analytical skills, which are pre-requisites to resolve socio-scientific problems and an important element in scientific literacy. In this activity, the SWOT analysis proposed by the Stanford Research Institute in the…
Descriptors: Foreign Countries, Research Methodology, Scientific Methodology, Data Collection
Jansen, Renée S.; van Leeuwen, Anouschka; Janssen, Jeroen; Kester, Liesbeth – Frontline Learning Research, 2020
To be successful in online education, learners should be able to self-regulate their learning due to the autonomy offered to them. Accurate measurement of learners' self-regulated learning (SRL) in online education is necessary to determine which learners are in need of support and how to best offer support. Trace data is gathered automatically…
Descriptors: Learning Strategies, Online Courses, Electronic Learning, Data Collection
Cenka, Baginda Anggun Nan; Santoso, Harry B.; Junus, Kasiyah – Knowledge Management & E-Learning, 2022
Online learning implementation has been growing year by year across countries, including Indonesia. Many higher education institutions use a Learning Management System (LMS) to facilitate online learning. Unfortunately, many issues arise during online learning implementation, such as a lack of student behaviour monitoring. This study adopts an…
Descriptors: Knowledge Management, Electronic Learning, Integrated Learning Systems, Student Behavior
Kuz'mina, Evelina V.; P'yankova, Nina G.; Tret'yakova, Natal'ya V.; Botsoeva, Anna V. – European Journal of Contemporary Education, 2020
This paper addresses the topical issue of searching for optimum technology for fostering professional competencies in a target audience of business informatics students. The authors discuss the relevance of using the competency-based approach in the context of pedagogical goalsetting. The work describes the key stages in a study that involved…
Descriptors: Data Analysis, Competency Based Education, Information Science Education, Career Readiness
Watson, Cate; Wilson, Anna; Drew, Valerie; Thompson, Terrie Lynn – Assessment & Evaluation in Higher Education, 2017
In this paper, we present an in-depth case study of a single student who failed an online module which formed part of a master's programme in Professional Education and Leadership. We use this case study to examine assessment practices in higher education in the online environment. In taking this approach, we go against the current predilection…
Descriptors: Case Studies, College Students, Student Evaluation, Evaluation Methods
Edelstein, Jeffrey; Abbott, Jordan; Kimball, Ezekiel – Journal of Postsecondary Education and Disability, 2020
Disability-as-diagnosis, disability-as-identity, and disability-as-experience as pressing measurement issues in learning outcomes assessment are described in this paper. Disability represents a critically important latent variable in many learning outcomes assessment plans unless it is a formalized part of analytic plans. Noting the potential for…
Descriptors: Disabilities, Clinical Diagnosis, Identification (Psychology), Experience
Komljenovic, Janja – Globalisation, Societies and Education, 2019
Students, academics and university administrators are increasingly using and producing digital platforms, including social media. This paper focuses on LinkedIn to start tackling the question of the effects on higher education as a sector, its actors and the established social practices. It argues that LinkedIn moves beyond the passivity of…
Descriptors: Social Networks, Social Media, Labor Market, Employment Potential
Senger, Kim; Nordmo, Ivar – Journal of Geoscience Education, 2021
The emergence of digital tools, including tablets with a multitude of built-in sensors, allows gathering many geological observations digitally and in a geo-referenced context. This is particularly important in the polar environments where (1) limited time is available at each outcrop due to harsh weather conditions, and (2) outcrops are rarely…
Descriptors: Earth Science, Science Instruction, Teaching Methods, Educational Technology