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But what are reasonable outcomes of the influence of global processes on education? While the question of how global processes influence all aspects of education (and who controls these forces) is multidimensional and not completely testable, there appear to be some theories of globalization as it relates to education that can be empirically examined. References: Rutkowski, L., & Rutkowski, D. (2009). Trends in TIMSS responses over time: Evidence of global forces in education? Educational Research and Evaluation, 15(2), 137-152.

The question of "how global processes influence all aspects of education (and who controls these forces) is multidimensional and not completely testable but there appear to be some theories of globalization as it relates to education that can be empirically examined" (Rutkowski and Rutkowski, 2009, p. 138).

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Item 2

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In examining the history of the visionary companies, we were struck by how often they made some of their best moves not by detailed strategic planning, but rather by experimentation, trial and error, opportunism, and--quite literally--accident. What looks in hindsight like a brilliant strategy was often the residual result of opportunistic experimentation and "purposeful accidents." References: Collins, J. C., & Porras, J. I. (2002). Built to last: Successful habits of visionary companies. New York, NY: Harper Paperbacks.

The variety of projects that Google undertakes, from Internet search to cars that drive themselves, could be considered lack of focus. However, perhaps Google recognizes that successful moves that looked like the result of "a brilliant strategy was often the residual result of opportunistic experimentation" (Collins & Porras, 2002, p. 141). References: Collins, J. C., & Porras, J. I. (2002). Built to last: Successful habits of visionary companies. New York, NY: Harper Paperbacks.

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Item 3

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Learning is a complex set of processes that may vary according to the developmental level of the learner, the nature of the task, and the context in which the learning is to occur. As already indicated, no one theory can capture all the variables involved in learning. References: Gredler, M. E. (2001). Learning and instruction: Theory into practice (4th Ed.). Upper Saddle, NJ: Prentice-Hall. A learning theory, there, comprises a set of constructs linking observed changes in performance with what is thought to bring about those changes. References: Driscoll, M. P. (2000). Psychology of learning for instruction (2nd Ed.). Needham Heights, MA: Allyn & Bacon.

A learning theory is made up of a set of constructs linking observed changes in performance with whatever is thought to bring about those changes. Therefore since "learning is a complex set of processes that may vary according to the developmental level of the learner, the nature of the task, and the context in which the learning is to occur," it is apparent that no one theory can capture all the variables involved in learning (Driscoll, 2000, p.10). References: Driscoll, M. P. (2000). Psychology of learning for instruction (2nd Ed.). Needham Heights, MA: Allyn & Bacon.

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In a complex task such as creating a website for learning, instructors may want to support the generation of multiple solutions in learners' peer feedback. Anonymity may create a social context where learners feel freer to express varied ideas, and make the task of giving feedback less inhibited. However, teachers need to know just how anonymity impacts the learning dynamic in order to make informed choices about when anonymous configurations are appropriate in peer feedback. References: Howard, C. D., Barrett, A. F., & Frick, T. W. (2010). Anonymity to promote peer feedback: Pre-service teachers' comments in asynchronous computer-mediated communication. Journal of Educational Computing Research, 43(1), 89-112.

Increased availability of technology in my classroom makes it easier for peer feedback activities to be conducted anonymously which "may create a social context where learners feel freer to express varied ideas, and make the task of giving feedback less inhibited" (Howard, Barrett, & Frick, 2010, p. 90). However, I worry that my students may be overly harsh if they don't have to stand by their comments. References: Howard, C. D., Barrett, A. F., & Frick, T. W. (2010). Anonymity to promote peer feedback: Pre-service teachers' comments in asynchronous computer-mediated communication. Journal of Educational Computing Research, 43(1), 89-112.

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The technological tools available today for creating computer-based learning materials are incredibly more powerful than those introduced just a few years ago. We can make our own movies with camcorders in our homes; we can publish our own books. Soon teachers and students will be able to use computer-video technology to produce their own learning materials. All it takes is time, know-how, and some funds. References: Frick, T. (1991). Restructuring education through technology. Bloomington, IN: Phi Delta Kappa Educational Foundation.

Frick (1991) claimed that computers would become so powerful that K-12 educators and students would able to produce their own multimedia and Web-based learning materials. He further predicted that they would just need to take the time required to learn to use the authoring tools and related technologies such as digital cameras and camcorders. References: Frick, T. (1991). Restructuring education through technology. Bloomington, IN: Phi Delta Kappa Educational Foundation.

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The game-based laboratory was vastly different from their expectations and experiences of a typical laboratory; this might have resulted in the students being disconnected from the learning aspect of the game. However, the students' comments suggested that their discomfort with the video game was due to the fact that they did not perceive that a video game could really be educational. The game became a disruption to their traditional ways of science learning and interfered with how they perceived the learning experience. This perspective is potentially problematic as it suggests that pedagogical disruptions such as video games that are designed to be powerful learning tools simply may not work for all students. References: Anderson, J. L., & Barnett, M. (2013). Learning Physics with Digital Game Simulations in Middle School Science.Journal of Science Education and Technology, 1-13.

Since a game-based laboratory provides a virtual environment with different experiences than in a real lab, students may fail to connect these virtual experiences to real lab experiences. Student and teacher beliefs that games are entertainment tools, not educational tools, may minimize the potential of video games intended to help students learn science. References: Anderson, J. L., & Barnett, M. (2013). Learning Physics with Digital Game Simulations in Middle School Science.Journal of Science Education and Technology, 1-13.

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Science classrooms offer at least five ways to individualize and to enhance students'learning using games and simulations beyond what is possible in informal settings. First, teachers can assign students to teams based on detailed knowledge of learners' intellectual and psychosocial characteristics. Second, in contrast to relatively unguided learning in contexts outside of school, science teachers can alter their classroom instruction and support based on the feedback educational games and simulations provide. Third, science games and simulations are adaptable to students with special needs, allowing them to be mainstreamed in science classrooms. Fourth, educational games and simulations can prepare students to take full advantage of real world field trips in science classrooms. Fifth, teachers through their knowledge of students can relate virtual experiences in science games and simulations to what is happening in the real world or in their personal lives. References: Dede, C. (2009). Learning context: Gaming, gaming simulations, and science learning in the classroom. Paper commissioned for the National Research Council Workshop on Gaming and Simulations, October 6-7, Washington, DC. Retrieved from: http://www7.nationalacademies.org/ bose/Dede_Gaming_CommissionedPaper. pdf

According to Dede (2009), different games can be assigned and used based on students' characteristics. Information about student performance when playing games can help science teachers plan subsequent classroom activities. Games also can be utilized for students with special needs, which can be selected to match their ability levels.

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When instructors are creating discussion board activities for online courses, at least two questions must be answered. First, what is the objective of the discussions? Different objectives might be to create a "social presence" among students so that they do not feel isolated, to ask questions regarding assignments or topics, or to determine if students understand a topic by having them analyze and evaluate contextual situations. Based on the response to this question, different rules might be implemented to focus on the quality of the interaction more so than the quantity. The second question is, how important is online discussions in comparison to the other activities that students will perform? This question alludes to the amount of participation that instructors expect from students in online discussions along with the other required activities for the course. If a small percentage of student effort is designated for class participation, our results show that it can affect the quality and quantity of interactions. References: Moore, J. L., & Marra, R. M. (2005) A comparative analysis of online discussion participation protocols. Journal of Research on Technology in Education, 38(2), 191-212.

According to Moore and Marra's (2005) case study, which observed two online courses, students in the first course implemented a constructive argumentation approach while students in second course had less structure for their postings. As they stated, when instructors create online discussion board activities, they must answer at least two questions. These questions are: "What is the objective of the discussions?" And "How important are online discussions in comparison to the other activities that students will perform?" According to their findings, the discussion activities that were designed based on the answers to these questions can influence the quality and quantity of interactions (Moore & Marra, 2005). References: Moore, J. L., & Marra, R. M. (2005) A comparative analysis of online discussion participation protocols. Journal of Research on Technology in Education, 38(2), 191-212.

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APT was compared with numerous extant methodologies, including the linear models approach and event history analysis. The fundamental difference between APT and these other approaches is that no particular mathematical model is assumed in APT. In APT a model is viewed simply as a temporal pattern, whereas in most other approaches parameters of a mathematical model are estimated from data in which variables are measured separately. Moreover, in APT probabilities of temporal patterns are estimated by relative frequency and duration. References: Frick, T. (1990). Analysis of Patterns in Time (APT): A Method of Recording and Quantifying Temporal Relations in Education. American Educational Research Journal, 27(1), 180-204.

The major difference between Analysis of Patterns in Time and linear statistical models is that APT does not assume any specific mathematical model. Linear models attempt to find statistical relations between variables that have been measured separately. In APT, temporal patterns indicate relationships. Those patterns are counted in order to estimate their likelihoods. References: Frick, T. (1990). Analysis of Patterns in Time (APT): A Method of Recording and Quantifying Temporal Relations in Education. American Educational Research Journal, 27(1), 180-204.

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To summarize, the elaboration model of instruction starts by presenting knowledge at a very general or simplified level in the form of a special kind of overview. Then it proceeds to add detail or complexity in "layers" across the entire breadth of the content of the course (or curriculum), one layer at a time, until the desired level of detail or complexity is reached. References: Reigeluth, C. M. (1999). The elaboration theory: Guidance for scope and sequence decisions. In C. M. Reigeluth (Ed.), Instructional design theories and models: A new paradigm of instructional theory (Vol. II, pp. 425-453). Hillsdale, NJ: Lawrence Erlbaum.

They soon switched to a model based on the elaboration theory (Reigeluth, 1999). Using this approach, the game would begin with a level that offered the simplest version of the whole task (the epitome); subsequent levels would become increasingly more complex--an approach common to videogames--with opportunities for review and synthesis. References: Reigeluth, C. M. (1999). The elaboration theory: Guidance for scope and sequence decisions. In C. M. Reigeluth (Ed.), Instructional design theories and models: A new paradigm of instructional theory (Vol. II, pp. 425-453). Hillsdale, NJ: Lawrence Erlbaum.

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