Data Structures and Algorithms (DS) is a basic computer science course that is a prerequisite for taking advanced information systems (IS) curriculum courses. The course aims to teach students how to analyze a problem, design a solution, and implement it using pseudocode to construct knowledge and develop the necessary skills for algorithmic…

Indonesian higher education rarely employed e-learning until COVID-19. Many students tried online learning for the first time during the pandemic. After the pandemic ended in 2022, universities switched to blended learning, but student adaptation, system integration, and learning effectiveness remain challenges. This study examines these…

Purpose: The effect of e-learning success relies on the learning management system and its effectiveness provided to the learners. As a result, higher education institutions (HEIs) are expanding using various e-learning platforms and focusing on system and information quality. This study adopts the ISS (information system success) model to assess…

Document tracking which involves recording and monitoring the movement of documents has been a time-consuming task for staff. Dislocation and overlooking of the timeline have always been the problems in document control. An effective tool such as a web-based system is the easiest way to be implemented in the workplace. The Accreditation Document…

Examining the blended learning (b-learning) acceptance is not a new research topic, and it has been tackled by many scholars. Nevertheless, the analysis of information systems (IS) models that are used to study the acceptance of b-learning is regarded as a topic of great importance. To examine these models and afford scholars a holistic view of…

Aim/Purpose: This study aims to explore undergraduate IS students' employability skills development while performing their final capstone project during their academic studies. Background: The importance of soft skills in the Information Systems industry is not an arguable fact and has been broadly discussed both in the industry and the academic…

The underutilization of e-learning among university lecturers is an important issue that needs to be resolved. This study aimed to formulate an e-learning postadoption model for Malaysian universities. Data were collected using self-administered questionnaires involving 36 e-learning experts who from lecturers in public and private universities in…

Are students who prefer online education different from those who prefer on-ground education, and how? This is an important question because educational institutions need to better understand student segmentations. This research examined 251 survey responses from students enrolled in Computer Information Systems courses at three universities over…

Data is a powerful tool for the healthcare industry to use for managing, analyzing, and reporting on critical events in the field. The analysis of broad, salient data files aids healthcare businesses in uncovering hidden patterns, market trends, and customer preferences; these details may then be used to improve the quality and delivery of care to…

This research presents the design of Career Counselling Information System (CCIS), a web-based career counselling information system. The research aims to reveal a design framework for a web-based career information system integrated with universities' labour market performance to support career guidance processes. This research is structured as a…

The current and ongoing challenges brought on by climate change will require future scientists who have hands-on experience using advanced molecular techniques, can work with large data sets, and can make correlations between metadata and microbial diversity. A course-embedded research project can prepare students to answer complex research…

The academic success of first-year students' learning in science faculties is by no means assured, especially in an Open Distance Learning setting with its limited number of face-to-face encounters between students and lecturers or tutors. Therefore, such encounters should be highly efficient in view of the considerable amount of knowledge…

Grounded in the expectation-confirmation theory and the D&M Information Success Model, this study investigates the factors influencing college students' continuance intention to use mobile learning from three perspectives: educational institutions, instructors, and learners. About 421 college students were randomly selected to participate in a…

This dissertation comprises three cross-disciplinary essays on information systems, marketing, and financial outcomes research for nonprofit service organizations. In our first essay, we explore service quality impacts on the constructs of positive and negative word of mouth, developing and validating a new measurement scale, testing it…

Our field experiment extends prior work on college matriculation by testing the extent to which an artificially intelligent (AI) chatbot's outreach and support to college students (N = 4442) reduced summer melt and improved first-year college enrollment at a 4-year university. Specifically, we investigate which students the intervention proves…