RENEWAL OF AN INFORMATION SYSTEMS CURRICULUM TO SUPPORT CAREER BASED TRACKS: A CASE STUDY

The pace at which technology redefines traditional job functions is picking up rapidly. This trend is triggered particularly by advances in analytics, security, cloud computing, Artificial Intelligence and big data. The purpose of this paper is to present a case study on our approach to renewing an undergraduate IS Major curriculum to align with the needs of the industry. We adopt a survey based approach to study Information Systems (IS) graduate skills requirements and re-design the curriculum framework for the IS program at our school. The paper describes in detail the process, the redesigned IS curriculum, the impact of the new curriculum on student enrolment across the different career tracks, and some lessons learned when trying to re-design the curriculum to align with industry needs. The work reported in this paper provides one pathway for Information Systems and Computer Science schools to re-engineer their curriculum design

MAPPING IS CURRICULUM RESEARCH AREAS: A SYSTEMATIC LITERATURE REVIEW FROM 2010 TO 2019

Research on IS curriculum addresses many important aspects related to IS curriculum planning: sharing of good curriculum planning practices, reviewing and recommending contents for IS curriculum, and identifying graduates’ competency needs. A bit surprisingly, however, there is no systematic literature review on IS curriculum research, increasing the possibility that knowledge does not accumulate, or reach intended beneficiaries. In this paper, we present results of a systematic literature review of IS curriculum research from 2010 to 2019. In total, 204 articles are downloaded from Scopus, AIS eLibrary, and ACM digital library. In addition to providing an overview of research demographics, we classify the articles first into three broad categories (planning process, curriculum contents, competency requirements), and secondly to more specific classes within each category. For IS curriculum researchers, the results assist in identifying prior research in different areas, thus promoting accumulation of research knowledge. For IS faculty, the paper provides an overview of IS curriculum related studies and a possibility to identify papers based on their immediate curriculum design needs and interests

Aligning Community Colleges to Their Local Labor Markets

Examines ways to better align community college curricula with employer needs, including analyzing online job ads to gather data on occupation and skill demands; examples of use of labor market information; and the potential and limitations of such data

A conceptual framework for analyzing students' feedback

Ministry of Education, Singapore under its Academic Research Funding Tier

Validation of Score Meaning for the Next Generation of Assessments

Despite developments in research and practice on using examinee response process data in assessment design, the use of such data in test validation is rare. Validation of Score Meaning in the Next Generation of Assessments Using Response Processes highlights the importance of validity evidence based on response processes and provides guidance to measurement researchers and practitioners in creating and using such evidence as a regular part of the assessment validation process. Response processes refer to approaches and behaviors of examinees when they interpret assessment situations and formulate and generate solutions as revealed through verbalizations, eye movements, response times, or computer clicks. Such response process data can provide information about the extent to which items and tasks engage examinees in the intended ways. With contributions from the top researchers in the field of assessment, this volume includes chapters that focus on methodological issues and on applications across multiple contexts of assessment interpretation and use. In Part I of this book, contributors discuss the framing of validity as an evidence-based argument for the interpretation of the meaning of test scores, the specifics of different methods of response process data collection and analysis, and the use of response process data relative to issues of validation as highlighted in the joint standards on testing. In Part II, chapter authors offer examples that illustrate the use of response process data in assessment validation. These cases are provided specifically to address issues related to the analysis and interpretation of performance on assessments of complex cognition, assessments designed to inform classroom learning and instruction, and assessments intended for students with varying cultural and linguistic backgrounds