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Mark Nichols – Open Learning, 2024
Learning analytics promise significant benefit to online education providers through improved, better-targeted student services. Much has been written about the potential of analytics and how they might be technically implemented, and various ethical considerations are published highlighting the significant potential risk of gathering,…
Descriptors: Learning Analytics, Ethics, Guidelines, Policy Formation
Abdur R. Shahid; Sushma Mishra – Journal of Information Systems Education, 2024
Due to the increasing demand for efficient, effective, and profitable applications of Artificial Intelligence (AI) in various industries, there is an immense need for professionals with the right skills to meet this demand. As a result, several institutions have started to offer AI programs. Yet, there is a notable gap in academia: the absence of…
Descriptors: Masters Programs, Information Systems, Computer Science Education, Artificial Intelligence
Teimourzadeh, Aria; Kakavand, Samaneh; Kakavand, Benjamin – Marketing Education Review, 2023
In the era of big data, many business organizations consider data analytics skills as important criteria in the acquisition of qualified applicants. As numerous managerial decisions in the field of marketing are becoming evidence-based, business schools have integrated case studies about different stages of data analytics such as problem…
Descriptors: Marketing, Teaching Methods, Programming Languages, Data Analysis
Boehm, Frederick J.; Hanlon, Bret M. – Journal of Statistics and Data Science Education, 2021
We draw on our experiences with mentoring two students to develop a framework for undergraduate research projects with Twitter data. Leveraging backward design principles, we share our learning objectives and rubric for summative assessments. To illustrate the value of Twitter as a data source, we detail methods for collecting and analyzing…
Descriptors: Social Media, Mentors, Guidelines, Undergraduate Students
MacGregor, Stephen W.; Cooper, Amanda – AERA Online Paper Repository, 2022
We interrogate the opportunities and challenges of using mixed methods (MM) within a developmental evaluation (DE) context by drawing on two illustrative cases that investigated educational change in Canada. Methods: Multi-case design and cross-case analysis, with a focus on examining common patterns across the two cases, enabling new ways of…
Descriptors: Mixed Methods Research, Evaluation Methods, Barriers, Educational Change
Guerra, Julio; Ortiz-Rojas, Margarita; Zúñiga-Prieto, Miguel Angel; Scheihing, Eliana; Jiménez, Alberto; Broos, Tom; De Laet, Tinne; Verbert, Katrien – British Journal of Educational Technology, 2020
Despite the success of academic advising dashboards in several higher educational institutions (HEI), these dashboards are still under-explored in Latin American HEI's. To close this gap, three different Latin American universities adapted an existing advising dashboard, originally deployed at the KU Leuven to their own context. In all three…
Descriptors: Academic Advising, Management Systems, Universities, Decision Making
Johnson, Marina E.; Albizri, Abdullah; Jain, Rashmi – Decision Sciences Journal of Innovative Education, 2020
Recent technological advancements in data storage and processing have changed how companies conduct their business. An increasing number of firms have started putting their efforts in extracting information from their databases to improve profitability and reduce costs using quantitative approaches. Thus, the job market has been experiencing a…
Descriptors: Data Analysis, Business Administration Education, Business, Databases
Leidig, Jonathan P. – Information Systems Education Journal, 2023
Educators are tasked with continually updating course objectives, content, assignments, and assessment to meet model curriculum guidelines. IS2020 proposes program level outcomes for required and elective areas. Two elective areas in IS2020 are Data and Business Analytics and Data and Information Visualization. IS2020 details 14 program level…
Descriptors: Course Objectives, Outcomes of Education, Curriculum Development, Required Courses
Nelson, Randy B.; Yusef, Kideste Mariam; Cooper, Adrienne – Scholarship and Practice of Undergraduate Research, 2019
Bethune-Cookman University's Center for Undergraduate Research Excellence has operated a summer research program since 2014. An interdisciplinary team of faculty mentors and student research fellows examined variables impacting juvenile delinquency and risk of recidivism within Florida, using a database of more than 64,000 youth who aged out of…
Descriptors: Summer Programs, Interdisciplinary Approach, Research Training, Black Colleges
Boenig-Liptsin, Margarita; Tanweer, Anissa; Edmundson, Ari – Journal of Statistics and Data Science Education, 2022
This article presents the Data Science Ethos Lifecycle, a tool for engaging responsible workflow developed by an interdisciplinary team of social scientists and data scientists working with the Academic Data Science Alliance. The tool uses a data science lifecycle framework to engage data science students and practitioners with the ethical…
Descriptors: Ethics, Statistics Education, Feminism, Interdisciplinary Approach
Lovett, Marsha; Hershock, Chad – To Improve the Academy, 2020
A prominent goal of colleges and universities today is to enact data-driven teaching and learning. Faculty clearly play a key role, and yet they tend to have limited time, a lack of training in assessment or education research, and few incentives for engaging in this work. We describe a framework designed to address the practical and cultural…
Descriptors: Teaching Methods, Data Analysis, Systems Approach, Lesson Plans
Shagataeva, Zaure Ernazarovna; Sarbassov, Yernazar Kaspaevich; Seminar, Erkegul; Sydykbekova, Marianna Amangeldyevna; Kydyrbaeva, Ardak Tolegenovna – World Journal on Educational Technology: Current Issues, 2021
Like in many Global South countries, the vocational education and training system in Kazakhstan has some weaknesses, including low-competent educators poorly applying digital technologies in their instructional repertoire, which highlights the need for motivating teachers towards incorporating technologies representing students' everyday life in…
Descriptors: Vocational Education, Vocational Education Teachers, Teacher Effectiveness, Technological Literacy
Hlioui, Fedia; Aloui, Nadia; Gargouri, Faiez – International Journal of Web-Based Learning and Teaching Technologies, 2021
Nowadays, the virtual learning environment has become an ideal tool for professional self-development and bringing courses for various learner audiences across the world. There is currently an increasing interest in researching the topic of learner dropout and low completion in distance learning, with one of the main concerns being elevated rates…
Descriptors: At Risk Students, Withdrawal (Education), Dropouts, Distance Education
Jeyaraj, Anand – Journal of Information Systems Education, 2019
Responding to the industry need for professionals to employ data-driven decision-making, educational institutions offer courses in business analytics (BA). Since BA professionals require a unique set of skills different from those found in specific business disciplines, a pedagogical framework to impart such knowledge and skills was developed. The…
Descriptors: Decision Making, Data Analysis, Visualization, Data Interpretation
Annie E. Casey Foundation, 2020
Advances in data science and computing power are rapidly shifting the opportunities available to citizens, changing how systems interact with almost every aspect of our lives: as students, job seekers, patients, citizens and consumers. This report presents the Annie E. Casey Foundation's point of view on the use of advanced analytics in social…
Descriptors: Data Analysis, Public Policy, Family Programs, Social Problems