A guide to establishing hybrid learning courses: Employing information technology to create a new learning experience, and a case study

Hybrid learning, or blended learning, has become an interesting learning delivery method in recent years. Many universities have sought to develop their own hybrid learning courses as another option for students and instructors who prefer to replace some portion of traditional face-to-face meeting time with online instruction. This paper provides some pragmatic guidance for establishing hybrid learning courses in universities. The authors focus on the use of information technology, as well as the development and the design of the course content. The paper also illustrates a case study of hybrid learning courses at NJIT. The research results showed no significant difference between the performance of the students who took a course in hybrid mode versus the performance of those who took the identical course in distance learning mode. Some positive feedback in terms of perceived benefit from the hybrid course instruction and course materials was obtained from the students. The student learning styles were also investigated. The results demonstrated that the majority of students who participated in the hybrid learning course are active/sensing/sequential/visual learners. Most of them preferred visual presentations to verbal explanations. The research results also revealed the difference between learning styles of students with high performance, and those with low performance.     

Developing a ‘leading identity’: the relationship between students’ mathematical identities and their career and higher education aspirations

The construct of identity has been used widely in mathematics education in order to understand how students (and teachers) relate to and engage with the subject (Kaasila, 2007; Sfard & Prusak, 2005; Boaler, 2002). Drawing on cultural historical activity theory (CHAT), this paper adopts Leont’ev’s notion of leading activity in order to explore the key ‘significant’ activities that are implicated in the development of students’ reflexive understanding of self and how this may offer differing relations with mathematics. According to Leont’ev (1981), leading activities are those which are significant to the development of the individual’s psyche through the emergence of new motives for engagement. We suggest that alongside new motives for engagement comes a new understanding of self—a leading identity—which reflects a hierarchy of our motives. Narrative analysis of interviews with two students (aged 16–17 years old) in post-compulsory education, Mary and Lee, are presented. Mary holds a stable ‘vocational’ leading identity throughout her narrative and, thus, her motive for studying mathematics is defined by its ‘use value’ in terms of pursuing this vocation. In contrast, Lee develops a leading identity which is focused on the activity of studying and becoming a university student. As such, his motive for study is framed in terms of the exchange value of the qualifications he hopes to obtain. We argue that this empirical grounding of leading activity and leading identity offers new insights into students’ identity development.     

High-school biology,chemistry, or physics learned well in three weeks

At ages 11–15, 25 intellectually highly able youths studied high-school biology and 13 studied chemistry intensively for three summer weeks, after which their median score on the College Board's achievement test was 727 (biology) and 743 (chemistry). Four learned both subjects well in six weeks. Thus, the 34 participants were prepared to study the college level of the subject(s) that fall or the next. Results for 184 students taking biology, chemistry, or physics two summers later were comparable. For youths this able, the usual high-school science course is much too slowly paced. Completing the basic course well during the summer makes it feasible to start advanced work in the subject that fall and thereby score high on the College Board's Advanced Placement Program college-level examination the next May.     

What did PISA and TIMSS ever do for us?: the potential of large scale datasets for understanding and improving educational practice

ABSTRACT

There appears to be something of an intellectual and philosophical gulf between education researchers who seek insights from statistical analyses of complex data-sets such as those provided by the OECD (PISA), and others who seek to develop rich, contextualised socio-historical understandings that can shed light upon why particular classroom practices operate and are sustained within a given milieu. This paper outlines these different perspectives, with particular reference to non-cognitive factors. Detailed analysis of the roots of high academic achievement, and associated challenges to student wellbeing, in many East Asian countries, is provided. The important influence of broad political and societal factors is highlighted by reference to cross-cultural differences across a large number of countries. The paper concludes by stating that while data from large datasets can assist in gaining greater understanding of cross-cultural differences, to be meaningful, such analyses should be incorporated within complex ecosystemic accounts.     

Note About Possible Bias Resulting When Under-Statisticized Studies are Excluded from Meta-Analyses

Reviews and meta-analyses of research on a given topic may exclude' a sizable percentage of reports because they do not lend themselves to the type of summarizing procedures used. If the excluded articles contain relevant information, this may bias the conclusions of the analysis. It seems likely that, when computing statistics from their data, researchers will need to consider this aspect. A simple illustration of how that can sometimes be done readily is presented. A robust correlation coefficient easily computable from published data is shown to indicate a sizable relationship that is contrary to the main conclusion of a meta-analysis.