Group items tagged

This white paper examines the effect of social media as it outpaces society's ability to creates rules of behavior, designed to moderate how people interact with social media and each other.

"The impact of bullying in all forms on the mental health and safety of adolescents is of particular interest, especially in the wake of new methods of bullying that victimize youths through technology. The current study examined the relationship between victimization from both physical and cyber bullying and adolescent suicidal behavior. Violent behavior, substance use, and unsafe sexual behavior were tested as mediators between two forms of bullying, cyber and physical, and suicidal behavior...."

Encourage ethical student behavior by setting standards, communicating expectations and preventing plagiarism.

Through an empirical, secondary analysis of 588 teens (ages 12 - 17) and one of their parents living in the United States, we present useful insights into how parental privacy concerns for their teens and different parental mediation strategies (direct intervention versus active mediation) influence teen privacy concerns and privacy risk-taking and risk-coping privacy behaviors in social media. Our results suggest that the use of direct intervention by itself may have a suppressive effect on teens, reducing their exposure to online risks but also their ability to engage with others online and to learn how to effectively cope with online risks. Therefore, it may be beneficial for parents to combine active mediation with direct intervention so that they can protect their teens from severe online risks while empowering teens to engage with others online and learn to make good online privacy choices.

Reference Gasevic, D., Kovanovic, V. Joksimovic, S., Siemens, G. (2014). Where is Research on Massive Open Online Courses Headed ? A Data Analysis of the MOOC Research Initiative. The International Review of Research in Open and Distance Learning, 15(5), 135 -176. Retrieved from http://www.irrodl.org/index.php/irrodl/article/view/1954/3111

Marian, this is an involved research report on MOOC research initiative! Specifically, the issue of low course completion and high degree of student attrition was often pronounced as the key challenge of MOOCs & that understanding factors that affect student engagement, completion and success in MOOCs is a complicated psychological process. Theory of planned behavior (TPB) - used to study behavioral change - in the study's case, changing students intention to complete a MOOC and thus, increase their likelihood of course completion - it remains to be seen to what extent a student's intention can be changed if the student did not have an intention to complete a MOOC in the first place. What would be a reason that could motivate a student to change their intention in cases when she/he only enrolled in a MOOC to access information provided without intentions to take any formal assessments? Side note - are you aware of (or have you already taken) ESC's EDU-681111 Metacognitive Analysis: U Albany & Empire State College MOOC? Also, you may be interested in reading this article - Beyond MOOCs: Is IT Creating a New, Connected Age? EDUCAUSE Sprint 2013.

Yousef, A. M. F., Chatti, M. A., Wosnitza, M., & Schroeder, U. (2015). A Cluster Analysis of MOOC Stakeholder Perspectives. RUSC. Universities and Knowledge Society Journal, 12(1). pp. 74-90. doi http://dx.doi.org/10.7238/rusc.v12i1.2253 Abstract "Massive Open Online Courses (MOOCs) are providing opportunities for thousands of learners to participate in free higher education courses online. MOOCs have unique features that make them an effective Technology Enhanced Learning (TEL) approach. Institutions are offering a growing variety of MOOCs. Nevertheless, there are several crucial challenges that should be considered in the development of MOOCs, e.g., the drop-out rate of over 95% of course participants. One of the potential reasons for that is the complexity and diversity of MOOC participants. This diversity is not only related to the cultural and demographic profile, but also considers the diverse motives and perspectives when enrolled in MOOCs. This paper aims to cluster and analyze the different objectives of MOOC stakeholders to build a deeper and better understanding of their behaviors. Our main finding was a set of eight clusters, i.e., blended learning, flexibility, high quality content, instructional design and learning methodologies, lifelong learning, network learning, openness, and student-centered learning. This cluster schema creates a meaningful picture for the MOOC community" (p. 71). This is a peer reviewed scholarly article that uses qualitative and quantitative methods to analyze survey data on MOOC instructors and learners. Responses were relatively low: 158. The context is unclear - where did they get the sampling frame from? And why did they combine the learners and instructors? So there is some question as to the sample and it cannot be generalized. That said, they are innovative in their qualitative analysis. The qualitative work analyzed the open ended questions in their survey. They used a research method that allowed them to catego

The 87% of respondents in this sample who say they had heard at least a little about the government's surveillance programs were asked a series of questions about whether they had changed some of the ways they use technology. This section of the report covers their answers.

I have this idea that maybe the digital age is a new thing and that it will evolve in some way naturally. Maybe this is an example? It's sort of dialectic: People say anything online, government watches, people curtail this. I think it's probably good that people curtail this!

Illustrates the importance of teaching students about rights and responsibilities involved in online communications

Eventhough, this article is from 1998 it still presents ethical issues that are relevant. I wish schools start teaching classes on Internet ethics, copyright and online bullying early on. These question are going to be very critical to education and the future of citizenship. I think about how information is shared on Twitter in the current presidential election cycle and how the general public seem to not be bothered with checking facts. We have to work even harder to teach critical thinking and how to sort opinion for verifiable facts.

Great point about teaching critical thinking and the idea that taking away access to the internet is not an effective way to teach them to recognize the consequences of their actions. Often, I know in my classroom it is much easier to just take away the electronic devices than taking the time to stress the importance of ethical behavior online or offline.

The new cultural developments problematize the previous policy frames that governed educational technology when the CIPA was set in place. The policy argument of expanding youth access to computing via schools becomes weak if young people prefer to use new media away from school. Furthermore, young people appear to engage in far more creative and compelling learning behaviors with new media outside of school, with few opportunities within classroom walls.

This article looks at the youngest users of technological media and the division between "digital natives and digital immigrants." Digital natives have a lower risk perception of friending and contacting people online. Education is suggested to understand the gravity of carrying out inappropriate online behaviors.

Study examining a failed (authors' conclusion) teacher assessment program in Ontario, circa 2000.

"Technology acceptance in education has been and continues to be a central concern for researchers, application and platform developers, and educators. Rapid advancements in miniaturization along with the availability of fast, reliable, and affordable networks have sparked an increasing demand by students for better ways to complement their mobile lifestyles in support of their learning. Based on a review of the literature of technology acceptance and trends in mobile device usage in learning, this researcher tested the predictive power of the Mobile Learning Acceptance Model (MLAM) in an online higher education setting. MLAM is an extension of the technology acceptance model (TAM) inasmuch as it seeks to obtain user perceptions of usefulness and ease of use and their effect on user attitude and behavioral intention to use mobile devices for learning. For this research, users included students and faculty. Current literature indicates that student desire for access to a variety of learning resources anywhere anytime is growing yet little is known regarding faculty perceptions regarding mobile learning (m-learning) or on how institutions can position themselves to meet the growing demand. A web-based survey design was used to test MLAM using a previously developed and validated instrument, though updated to include and exclude what is now or no longer applicable and the wording modified to ensure relevancy to the target population studied. Exploratory factor analysis was performed to validate the factor structure. Multiple regression analysis was performed to determine which factors had the greatest influence on m-learning acceptance." [Abstract from ERIC database.] Link: http://search.proquest.com.library.esc.edu/docview/1399418322/abstract?accountid=8067 Marrs, K. (2013). An investigation of the factors that influence faculty and student acceptance of mobile learning in online higher education. Retrieved from http://search.proquest.com.library.esc.edu/pqrl/doc

"This study which is based on the Technological Acceptance Model (TAM), seeks to explore whether librarians and LIS students are familiar with the newest technological innovations and whether they are ready to accept them. The research was conducted in Israel during the first and second semesters of the 2012 academic year and considered two populations: librarians and LIS students. Researchers used two questionnaires to gather data: a personal details questionnaire, and a mobile technology questionnaire. On the whole, the current study supported the two core variables of the TAM (perceived ease of use and usefulness), as well as personal innovativeness that may predict librarians' and students' behavioral intention to use mobile services in the library." [Abstract from ERIC database.] Link to full-text EbscoHost Education Source database at ESC: http://eds.a.ebscohost.com.library.esc.edu/ehost/detail/detail?vid=9&sid=6b435564-9bcd-4f6f-95df-581478f9b036%40sessionmgr4004&hid=4103&bdata=JnNpdGU9ZWhvc3QtbGl2ZQ%3d%3d#AN=94658055&db=eue Aharony, N. (2014). Mobile Libraries: Librarians' and Students' Perspectives. College & Research Libraries, 75 (2), 202-217.

The article identifies common archival issues (i.e., listing and cataloging) associated with archiving digitally created information, due to rapidly changing technologies used to create digital information. This makes it challenging to appropriately list and catalog the moral impacts created by the rapidly emerging technologies. The article (n.d.) states, "ever morphing nature of information technology is changing our ability to even fully understand moral values as they change. Lorenzo Magnani claims that acquiring knowledge of how that change confounds our ability to reason morally '…has become a duty in our technological world'" (section 1.1). The article alerts to impending moral and ethical dilemmas created by smart phone apps that will be soon be capable of streaming biometric data (e.g., vital signs, physical activity logs, caloric intake, etc.) and linking it with GPS tracking to identify geo-locators tied to fluctuations in biometric data via phone applications. The advantage of such technology can lead to promotion of more healthy lifestyles. However, streaming such sensitive biometric information (data) leads to privacy and ethical concerns that are not easily resolved. Other moral, ethical and privacy issues are created surreptitiously when browsing websites on the Internet. "Browser software records all manner of data about our visits to various websites which can, for example, make webpages load faster next time you visit them. Even the websites themselves use various means to record information when your computer has accessed them and they may leave bits of information on your computer which the site can use the next time you visit. Some websites are able to detect which other sites you have visited or which pages on the website you spend the most time on. If someone were following you around a library noting down this kind of information you might find it uncomfortable or hostile, but online this kind of behavior takes place behin

How teenagers weigh perceived risks versus benefits in what they reveal online. Many teenagers supply false information in order to protect their identity which makes online advertising less effective towards them. Also, study indicates that how savvy a teen is in regards to thinking critically about the intent of advertisements and the strategies companies use offline the more they were able to identify the same tactics online.

EducationWorld is pleased to present this article by Christopher McGilvery, a lecturer at Angelo State University . The article originally appeared in TechEdge, a quarterly magazine published by Naylor LLC for Texas Computer Education Association members. To join or for more information, visit www.tcea.org.

Great ideas. I wonder if they are effective? Will student change behavior because they are told you should not bully?

I really like the idea of treating the lessons as ways to make them "lifelong learners" so that these tools and skills go beyond the scope of the school year or K-12 setting.