Conditions for the Effectiveness of Multiple Visual Representations in Enhancing STEM Learning

Visual representations play a critical role in enhancing science, technology, engineering, and mathematics (STEM) learning. Educational psychology research shows that adding visual representations to text can enhance students’ learning of content knowledge, compared to text-only. But should students learn with a single type of visual representation or with multiple different types of visual representations? This article addresses this question from the perspective of the representation dilemma, namely that students often learn content they do not yet understand from representations they do not yet understand. To benefit from visual representations, students therefore need representational competencies, that is, knowledge about how visual representations depict information about the content. This article reviews literature on representational competencies involved in students’ learning of content knowledge. Building on this review, this article analyzes how the number of visual representations affects the role these representational competencies play during students’ learning of content knowledge. To this end, the article compares two common scenarios: text plus a single type of visual representations (T+SV) and text plus multiple types of visual representations (T+MV). The comparison yields seven hypotheses that describe under which conditions T+MV scenarios are more effective than T+SV scenarios. Finally, the article reviews empirical evidence for each hypothesis and discusses open questions about the representation dilemma.     

Older Adults' Acceptance of Information Technology

This study investigated variables contributing to older adults’ information technology acceptance through a survey, which was used to find factors explaining and predicting older adults’ information technology acceptance behaviors. Four factors, including needs satisfaction, perceived usability, support availability, and public acceptance, were found using factor analysis. According to older adults’ self-reported scores, the factors of needs satisfaction and support availability are relatively more important among the four factors. According to linear regression results, the factors of needs satisfaction and perceived usability are significantly related to use intention of information technology.     

Non‐traditional Students in a Traditional System of Higher Education: The German Case of Formally Non‐qualified Students

For many years, higher education systems around the world have been reporting on “new”; and/or “non‐traditional” students which in many institutions represent the majority of all undergraduate enrolments. These students are older, have work experience, study part‐time, carry full‐time adult responsibilities, have to take on full‐time employment, take advantage of open admission policies, and focus their studies on vocational objectives. This article focuses on a small group of German non‐traditional students who enrol through special admission. Their backgrounds, their experiences, their motives, and their expectations will be described. Certain consequences for higher education will be sketched.