... Problems evident in existing studies include: focusing on student satisfaction or attitudes toward technology (Cauble & Thurston, 2000;Falaron, 1995;Hick, 1999a;Kelley, 1993;McFall & Freddolino, 2000;Miller-Cribbs & Chadiha, 1998;Morgan, 1996;Panos, Panos, Cox, Galbraith, & Matheson, 2002;Petracchi, 2000;Schoech, 2000;Seabury, 2002;Seabury & Maple, 1993;Stocks & Freddolino, 1998;Thyer, Artelt, Markward, & Dozier, 1998;Thyer, Polk, & Gaudin, 1997;Weinbach, Gandy, & Tartaglia, 1984;Wernet, Olliges, & Delicath, 2000) rather than learning outcomes; the use of nonequivalent comparison groups and subsequent lack of control of confounding variables (Coe & Elliott, 1999;Faux & Black-Hughes, 2000;Finnegan & Ivanoff, 1991;Forster& Rehner, 1998;Freddolino & Sutherland, 2000;Hollister & McGee, 2000;Johnson & Huff, 2000;Huff, 2000;Kelley, 1993;Kleinpeter & Potts, 2002;Ligon, Markward & Yegidis, 1999;Panos, Panos, Cox, Galbraith & Matheson, 2002;Patchner, Petracchi & Wise, 1998;Petracchi, 1998;Petracchi & Morgenbesser;Petracchi & Patchner, 2000;Randolph & Krause, 2002;Seabury, 2002;Thyer, Polk & Gaudin, 1997); descriptive designs (e.g., Coe & Elliott, 200l;Hick, 2002;Latting, 1994;Morgan, 1996); measurement problems (e.g., Coe & Elliott, 1999;Forster & Rehner, 1998;Latting, 1994;Patchner, Petracchi & Wise, 1998;Petracchi & Morgenbesser, 1995); researcher bias (e.g., Ligon, Markward & Yegidis, 1999;Petracchi & Patchner, 2000;Schoech, 2000); and, overstepping the data through overgeneralization from anecdotal or descriptive evidence. ...