Reflections of an Online Social Work Professor: Illuminating an Alternative Pedagogy

ABSTRACT

Research in distance education has investigated student satisfaction and learning outcomes, comparing face-to-face with online delivery formats, and tested various technological tools, but has yet to consider alternative pedagogies. Liberatory pedagogy facilitates critical thinking, awareness, reflection and social action around constructs such as race, gender, and class. This paper uses Scholarly Personal Narrative to explore opportunities and challenges of implementing liberatory pedagogy within a virtual classroom. Themes include identity, body, mind, spirit, voice, authenticity, and self-actualization. Liberatory pedagogy emphasizes critical consciousness of oppression, aligns with professional values and ethics, encourages societal well-being, and would appear to enhance online social work education.     

Cognitive and social help giving in online teaching: an exploratory study

While literature suggests that college students may be less reluctant to seek help in online rather than traditional courses, little is known about how online instructors give help in ways that lead to increased student help seeking and academic success. In this study, we used theories and research on learning assistance and scaffolding, teacher immediacy, social presence, and academic help seeking to explore through a cross-case study design how three online instructors differed in their use of cognitive and social supports and how those differences related to student perceptions of support, help seeking, and performance. Primary data sources included all course postings by the instructors, interviews with the instructors, observational field notes on course discussions, student interviews, and final student grades. Archived course documents and student discussion postings were secondary data sources. Data analysis revealed that while all instructors provided cognitive and social support, they varied in their level of questioning, use of direct instruction, support for task structuring, and attention to group dynamics. This variation in teaching presence related to differences across the courses in student perceptions of support, student help seeking in course discussions, and final course grades. Implications for online teaching and suggestions for further research are offered.

New Counselor Educators’ Scholarly Productivity: Supportive and Discouraging Environments

Eighteen new counselor educators shared in‐depth reports of their efforts to establish an early record of scholarly productivity, critical to their success in academe. Analyses of their experiences using consensual qualitative research methods revealed components of both highly positive and highly discouraging program environments and their impact on participants’ research goals.     

Online Celebrity Bashing: Wrecking Ball or Good for You? Adolescent Girls’ Attitudes Toward the Media and Public Bashing of Miley Cyrus and Selena Gomez

Journalists and readers of celebrity news regularly bash celebrities online, a behavior that is easily accepted among adolescents. This study investigates whether these attitudes of acceptance differ according to the perpetrator of the bashing (media versus public) and the likeability of the involved celebrity (liked versus disliked). Using a vignette study, we examine adolescent girls’ attitudes toward media (journalists’) and public (readers’) bashing of a generally disliked celebrity (Miley Cyrus) and a generally liked celebrity (Selena Gomez). All participants read an identical negative news story (media bashing) and two related negative reader comments (public bashing). Participants were randomly assigned to read this information about either Miley Cyrus or Selena Gomez. Results of a mixed-design ANOVA showed that the girls had less negative attitudes toward media bashing compared with public bashing. Moreover, they more easily accepted the bashing of a disliked celebrity than the bashing of a liked celebrity.     

Online portfolio management via deep reinforcement learning with high-frequency data

Recently, models that based on Transformer (Vaswani et al., 2017) have yielded superior results in many sequence modeling tasks. The ability of Transformer to capture long-range dependencies and interactions makes it possible to apply it in the field of portfolio management (PM). However, the built-in quadratic complexity of the Transformer prevents its direct application to the PM task. To solve this problem, in this paper, we propose a deep reinforcement learning-based PM framework called LSRE-CAAN, with two important components: a long sequence representations extractor and a cross-asset attention network. Direct Policy Gradient is used to solve the sequential decision problem in the PM process. We conduct numerical experiments in three aspects using four different cryptocurrency datasets, and the empirical results show that our framework is more effective than both traditional and state-of-the-art (SOTA) online portfolio strategies, achieving a 6x return on the best dataset. In terms of risk metrics, our framework has an average volatility risk of 0.46 and an average maximum drawdown risk of 0.27 across the four datasets, both of which are lower than the vast majority of SOTA strategies. In addition, while the vast majority of SOTA strategies maintain a poor turnover rate of approximately greater than 50% on average, our framework enjoys a relatively low turnover rate on all datasets, efficiency analysis illustrates that our framework no longer has the quadratic dependency limitation.     

基于网络课件的标准应用及界定研究

现代远程教育标准对发展网络远程教育、教学起到了规范和指导的作用,但诸多标准尚处于雏形或发展之中,有许多有待研究和解决的问题。该文立足于网络课件制作、编列、播放的全过程,从功能上就相关的一系列标准应用及如何对其界定进行了探讨。     

Design,implementation, and evaluation of a multi-disciplinary professional development program for research mentors

ABSTRACT

Undergraduate research experience has been shown to enhance student learning and improve persistence in science, technology, engineering, and mathematics (STEM). Researchers studying undergraduate research experiences have largely focused on student outcomes and have seldom investigated the outcomes of graduate and postdoctoral mentors. Here, we report a non-credit, year-long mentor professional development program designed for graduate students, postdoctoral scholars, and research staff in STEM. Mentors attended a series of six interactive and discussion-based workshops and mentored first-year undergraduate students in independent summer research projects. We report evaluation findings for three mentor cohorts using a combination of qualitative analysis of mentoring philosophies and quantitative assessment of pre- and post-surveys about mentoring objectives and skills. Results indicate that mentors gained self-efficacy in some objectives and skills. However, many other objectives and skills remained unchanged. We explore possible explanations for the lack of more broad-scale gains across survey items and present ideas for program improvement.     

Epistemic beliefs in action: Spontaneous reflections about knowledge and knowing during online information searching and their influence on learning

In the present study it was investigated whether high school students are spontaneously able to reflect epistemologically during online searching for information about a controversial topic. In addition, we examined whether activating epistemic beliefs is related to individual characteristics, such as prior knowledge of the topic and argumentative reasoning skill; also whether learning from the Web is influenced by epistemic beliefs in action and the ability to detect fallacies in arguments. The participants (N = 64) were students of Grade 13, who were asked to think aloud during navigation. Qualitative and quantitative analyses were performed. Findings reveal that most participants spontaneously activated beliefs about all four dimensions identified in the literature, that is, about the simplicity/complexity, certainty/uncertainty, justification, and source of knowledge, at different levels of sophistication. Most epistemic reflections were about the source of knowledge. Two patterns of contextualized epistemic beliefs emerged and significantly influenced learning from the Web, which was also affected by participants' ability to identify argumentative fallacies.